-
Notifications
You must be signed in to change notification settings - Fork 5
/
Copy pathspectro_radiometer.html
705 lines (705 loc) · 204 KB
/
spectro_radiometer.html
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
455
456
457
458
459
460
461
462
463
464
465
466
467
468
469
470
471
472
473
474
475
476
477
478
479
480
481
482
483
484
485
486
487
488
489
490
491
492
493
494
495
496
497
498
499
500
501
502
503
504
505
506
507
508
509
510
511
512
513
514
515
516
517
518
519
520
521
522
523
524
525
526
527
528
529
530
531
532
533
534
535
536
537
538
539
540
541
542
543
544
545
546
547
548
549
550
551
552
553
554
555
556
557
558
559
560
561
562
563
564
565
566
567
568
569
570
571
572
573
574
575
576
577
578
579
580
581
582
583
584
585
586
587
588
589
590
591
592
593
594
595
596
597
598
599
600
601
602
603
604
605
606
607
608
609
610
611
612
613
614
615
616
617
618
619
620
621
622
623
624
625
626
627
628
629
630
631
632
633
634
635
636
637
638
639
640
641
642
643
644
645
646
647
648
649
650
651
652
653
654
655
656
657
658
659
660
661
662
663
664
665
666
667
668
669
670
671
672
673
674
675
676
677
678
679
680
681
682
683
684
685
686
687
688
689
690
691
692
693
694
695
696
697
698
699
700
701
702
703
704
705
<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.0 Transitional//EN">
<html>
<head>
<meta http-equiv="content-type" content="text/html; charset=utf-8">
<title></title>
<meta name="generator" content="LibreOffice 4.2.8.2 (Linux)">
<meta name="created" content="20191104;135749522044700">
<meta name="changed" content="0;0">
<style type="text/css">
<!--
@page { margin: 0.79in }
p { margin-bottom: 0.1in; direction: ltr; color: #000000; line-height: 120%; widows: 0; orphans: 0 }
p.western { font-family: "Liberation Serif", "Times New Roman", serif; font-size: 12pt; so-language: en-US }
p.cjk { font-family: "WenQuanYi Zen Hei Sharp"; font-size: 12pt; so-language: zh-CN }
p.ctl { font-family: "Lohit Devanagari"; font-size: 12pt; so-language: hi-IN }
h1 { margin-bottom: 0.08in; direction: ltr; color: #000000; widows: 0; orphans: 0 }
h1.western { font-family: "Liberation Sans", "Arial", sans-serif; font-size: 18pt; so-language: en-US }
h1.cjk { font-family: "WenQuanYi Zen Hei Sharp"; font-size: 18pt; so-language: zh-CN }
h1.ctl { font-family: "Lohit Devanagari"; font-size: 18pt; so-language: hi-IN }
h3 { direction: ltr; widows: 0; orphans: 0 }
h3.western { font-family: "Liberation Sans", "Arial", sans-serif; so-language: en-US }
h3.cjk { font-family: "WenQuanYi Zen Hei Sharp"; so-language: zh-CN }
h3.ctl { font-family: "Lohit Devanagari"; so-language: hi-IN }
p.sdfootnote-western { margin-left: 0.24in; text-indent: -0.24in; margin-bottom: 0in; font-family: "Liberation Serif", "Times New Roman", serif; font-size: 10pt; so-language: en-US; line-height: 100% }
p.sdfootnote-cjk { margin-left: 0.24in; text-indent: -0.24in; margin-bottom: 0in; font-family: "WenQuanYi Zen Hei Sharp"; font-size: 10pt; so-language: zh-CN; line-height: 100% }
p.sdfootnote-ctl { margin-left: 0.24in; text-indent: -0.24in; margin-bottom: 0in; font-family: "Lohit Devanagari"; font-size: 10pt; so-language: hi-IN; line-height: 100% }
pre { direction: ltr; color: #000000; widows: 0; orphans: 0 }
pre.western { font-family: "Liberation Mono", "Courier New", monospace; so-language: en-US }
pre.cjk { font-family: "WenQuanYi Zen Hei Sharp", monospace; so-language: zh-CN }
pre.ctl { font-family: "Liberation Mono", "Courier New", monospace; so-language: hi-IN }
a:link { so-language: zxx }
a.sdfootnoteanc { font-size: 57% }
-->
</style>
</head>
<body lang="en-US" text="#000000" bgcolor="#ffffff" dir="ltr" style="background: #ffffff">
<p align="center" style="margin-top: 0.17in; margin-bottom: 0.08in; line-height: 100%; page-break-after: avoid">
<font face="Liberation Sans, Arial, sans-serif"><font size="6" style="font-size: 28pt"><b>Installation
and usage: spectro_radiometer</b></font></font></p>
<p class="western" align="center">Marcus Leech</p>
<p class="western" align="center"><i>Canadian Centre for Experimental
Radio Astronomy</i></p>
<p style="margin-top: 0.17in; margin-bottom: 0.08in; line-height: 100%; page-break-after: avoid">
<font face="Liberation Sans, Arial, sans-serif"><font size="4" style="font-size: 14pt">Introduction</font></font></p>
<p class="western">This document describes the installation, system
requirements, and usage of the <i>Gnu Radio</i> application known as
<b>spectro_radiometer</b><sup><span style="font-weight: normal"><a class="sdfootnoteanc" name="sdfootnote1anc" href="#sdfootnote1sym"><sup>1</sup></a></span></sup><span style="font-weight: normal">.</span></p>
<p style="margin-top: 0.17in; margin-bottom: 0.08in; font-weight: normal; line-height: 100%; page-break-after: avoid">
<font face="Liberation Sans, Arial, sans-serif"><font size="4" style="font-size: 14pt">System
Requirements</font></font></p>
<p class="western"><span style="font-weight: normal">This document
assumes that you have already installed </span><i><span style="font-weight: normal">Ubuntu
18.04 LTS</span></i><span style="font-weight: normal"> onto your
system. The instructions given here would need to be modified for
other </span><i><span style="font-weight: normal">Linux</span></i><span style="font-weight: normal">
distributions, and </span><i><span style="font-weight: normal">Ubuntu</span></i><span style="font-weight: normal">
is one of the more popular distributions.</span></p>
<p class="western"><span style="font-weight: normal">The system
hardware should be a fairly-modern, multi-core system, preferably
X86-based, but some of the higher-end ARM SBCs, like the </span><i><span style="font-weight: normal">Odroid
N2 </span></i><span style="font-weight: normal">and </span><i><span style="font-weight: normal">XU4</span></i><span style="font-weight: normal">
will also work, albeit at lower sample rates.</span></p>
<p class="western" style="font-weight: normal">There should be at
least 2G of system memory, with a basic clock speed of at least
1.4GHz for X86 systems, and 1.8GHz for ARM systems.</p>
<p style="margin-top: 0.17in; margin-bottom: 0.08in; font-weight: normal; line-height: 100%; page-break-after: avoid">
<font face="Liberation Sans, Arial, sans-serif"><font size="4" style="font-size: 14pt">Caveats</font></font></p>
<p class="western"><span style="font-weight: normal">This document</span><b>
DOES NOT</b><span style="font-weight: normal"> cover basic system
installation procedures and requirements. If you aren't familiar
with Ubuntu 18.04 installation procedures, and basic system
management tasks, you should </span><b>BECOME FAMILIAR WITH THOSE
FIRST</b><span style="font-weight: normal">.</span></p>
<p style="margin-top: 0.17in; margin-bottom: 0.08in; font-weight: normal; line-height: 100%; page-break-after: avoid">
<font face="Liberation Sans, Arial, sans-serif"><font size="4" style="font-size: 14pt">SDR
requirements</font></font></p>
<p class="western" style="font-weight: normal">The software supports
many different SDR hardware platforms:</p>
<ul>
<li><p class="western" style="font-weight: normal">USRP products:
B2xx series, and N2xx, X3xx and N3xx series</p>
<li><p class="western" style="font-weight: normal">RTLSDR dongles</p>
<li><p class="western" style="font-weight: normal">HackRF</p>
<li><p class="western" style="font-weight: normal">LimeSDR and
LimeSDR-mini</p>
<li><p class="western" style="font-weight: normal">AirSpy R2 and
AirSpy mini</p>
</ul>
<p class="western"><span style="font-weight: normal">This document
will </span><b>NOT</b><span style="font-weight: normal"> cover
installation requirements for this hardware, as that information is
generally provided by the manufacturers.</span></p>
<p style="margin-top: 0.17in; margin-bottom: 0.08in; font-weight: normal; line-height: 100%; page-break-after: avoid">
<font face="Liberation Sans, Arial, sans-serif"><font size="4" style="font-size: 14pt">Prerequisite
Installation</font></font></p>
<p class="western"><span style="font-weight: normal">There are
certain prerequisites for the </span><b>spectro_radiometer</b><span style="font-weight: normal">
software that must be satisfied before installing the software.</span></p>
<ol>
<ol>
<ol>
<li><h3 class="western" style="font-weight: normal">Development
Tools</h3>
</ol>
</ol>
</ol>
<pre class="western" style="margin-left: 0.38in; font-weight: normal">
sudo apt-get install build-essential</pre>
<pre class="western" style="margin-left: 0.38in; font-weight: normal">
sudo apt-get install git</pre>
<pre class="western" style="margin-left: 0.38in; font-weight: normal">
sudo apt-get install python-pip</pre>
<pre class="western" style="margin-left: 0.38in; font-weight: normal">
sudo pip2 install ephem</pre>
<ol>
<ol>
<ol start="2">
<li><h3 class="western" style="font-weight: normal">Gnu Radio</h3>
</ol>
</ol>
</ol>
<pre class="western" style="margin-left: 0.38in; font-weight: normal">
sudo apt-get install gnuradio gnuradio*</pre>
<pre class="western" style="margin-left: 0.38in"><br>
</pre>
<p style="margin-top: 0.17in; margin-bottom: 0.08in; line-height: 100%; page-break-after: avoid">
<font face="Liberation Sans, Arial, sans-serif"><font size="4" style="font-size: 14pt"><span style="font-weight: normal">Application:
</span><i><span style="font-weight: normal">spectro_radiometer</span></i></font></font></p>
<p class="western" style="font-weight: normal">In your home
directory:</p>
<pre class="western" style="margin-left: 0.38in"><span style="font-weight: normal">git
clone </span><font color="#000080"><span lang="zxx"><u><a href="https://github.com/ccera-astro/pulsar_filterbank"><span style="font-weight: normal">https://github.com/ccera-astro/spectro_radiometer</span></a></u></span></font></pre>
<pre class="western" style="margin-left: 0.38in; font-weight: normal">
cd spectro_radiometer</pre>
<pre class="western" style="margin-left: 0.38in; font-weight: normal">
make</pre>
<pre class="western" style="margin-left: 0.38in; font-weight: normal">
sudo make install</pre>
<pre class="western" style="margin-left: 0.38in; font-weight: normal">
cd $HOME</pre>
<pre class="western"><br>
</pre>
<p class="western"><span style="font-weight: normal">This will build
the software, and install its components into /usr/local. The
executables are in </span><i><span style="font-weight: normal">/usr/local/bin.</span></i><span style="font-weight: normal">
You will likely need to add</span><i><span style="font-weight: normal">
/usr/local/bin</span></i><span style="font-weight: normal"> to your
PATH variable in your .bashrc if it isn't already there.</span></p>
<ol>
<ol>
<ol start="3">
<li><h3 class="western">Invoking spectro_radiometer</h3>
</ol>
</ol>
</ol>
<p class="western">The application takes many options and command
line parameters:</p>
<pre class="western"> -h, --help show this help message
and exit</pre>
<pre class="western"><br>
</pre>
<pre class="western"> --abw=ABW Set Analog bandwidth
[default=4.0M]</pre>
<pre class="western"><br>
</pre>
<pre class="western"> --antenna=ANTENNA Set Antenna
[default=RX2]</pre>
<pre class="western"><br>
</pre>
<pre class="western"> --baseline=BASELINE Set Baseline length
[default=99.3]</pre>
<pre class="western"><br>
</pre>
<pre class="western"> --bbgain=BBGAIN Set Baseband Gain
[default=5.0]</pre>
<pre class="western"><br>
</pre>
<pre class="western"> --bw=BW Set Bandwidth
[default=-1.0M]</pre>
<pre class="western"><br>
</pre>
<pre class="western"> --dcg=DCG Set Detector DC Gain
[default=100]</pre>
<pre class="western"><br>
</pre>
<pre class="western"> --decln=DECLN Set Observing
Declination [default=0.0]</pre>
<pre class="western"><br>
</pre>
<pre class="western"> --device=DEVICE Set SDR Device Name
[default=rtl=0</pre>
<pre class="western"><br>
</pre>
<pre class="western"> file=/dev/zero,rate=5e6]</pre>
<pre class="western"><br>
</pre>
<pre class="western"> --fftsize=FFTSIZE Set FFT size
[default=2048]</pre>
<pre class="western"><br>
</pre>
<pre class="western"> --frequency=FREQUENCY</pre>
<pre class="western"><br>
</pre>
<pre class="western"> Set Center Frequency
[default=1.42041G]</pre>
<pre class="western"><br>
</pre>
<pre class="western"> --gain=GAIN Set RF Gain
[default=30.0]</pre>
<pre class="western"><br>
</pre>
<pre class="western"> --ifgain=IFGAIN Set IF Gain
[default=5.0]</pre>
<pre class="western"><br>
</pre>
<pre class="western"> --latitude=LATITUDE Set Local Latitude
[default=44.9]</pre>
<pre class="western"><br>
</pre>
<pre class="western"> --longitude=LONGITUDE</pre>
<pre class="western"><br>
</pre>
<pre class="western"> Set Local Longitude
[default=-76.03]</pre>
<pre class="western"><br>
</pre>
<pre class="western"> --mode=MODE Set Operation Mode
[default=total]</pre>
<pre class="western"><br>
</pre>
<pre class="western"> --prefix=PREFIX Set Data File Prefix
[default=h1]</pre>
<pre class="western"><br>
</pre>
<pre class="western"> --ra=RA Set Target RA
[default=12.0]</pre>
<pre class="western"><br>
</pre>
<pre class="western"> --rfilist=RFILIST Set RFI Frequency List
[default=]</pre>
<pre class="western"><br>
</pre>
<pre class="western"> --srate=SRATE Set Sample rate
[default=2.56M]</pre>
<pre class="western"><br>
</pre>
<pre class="western"> --zerotime=ZEROTIME Set SIdereal time for
auto baseline set [default=99.3]</pre>
<pre class="western"><br>
</pre>
<pre class="western"> --clock=CLOCK Set Clock Source
[default=default]</pre>
<pre class="western"> --ppstime=PPSTIME Set Time Source
[default=default]</pre>
<pre class="western"><br>
</pre>
<p class="western">The <i>–abw</i> parameter controls the analog
bandwidth, in Hz, on the hardware—this options does nothing on
some hardware, and actually sets the pre-ADC bandwidth on others.</p>
<p class="western">The –<i><span style="font-weight: normal">antenna</span></i><span style="font-style: normal"><span style="font-weight: normal">
option controls which antenna port is to be used. Again, this “does
nothing” on some hardware, and on others selects which antenna port
to use.</span></span></p>
<p class="western"><span style="font-style: normal"><span style="font-weight: normal">The
–</span></span><i><span style="font-weight: normal">baseline</span></i><span style="font-style: normal"><span style="font-weight: normal">
option is used in interferometer mode to calculate fringe-stopping
parameters, and is in meters.</span></span></p>
<p class="western"><span style="font-style: normal"><span style="font-weight: normal">The
–</span></span><i><span style="font-weight: normal">bbgain</span></i><span style="font-style: normal"><span style="font-weight: normal">
parameter is used to control the </span></span><i><span style="font-weight: normal">baseband
gain </span></i><span style="font-style: normal"><span style="font-weight: normal">some
hardware supports it, some doesn't.</span></span></p>
<p class="western"><span style="font-style: normal"><span style="font-weight: normal">The
–</span></span><i><span style="font-weight: normal">bw</span></i><span style="font-style: normal"><span style="font-weight: normal">
parameter controls the DSP filter bandwidth, in Hz, prior to
detection.</span></span></p>
<p class="western"><span style="font-style: normal"><span style="font-weight: normal">The
–</span></span><i><span style="font-weight: normal">dcg </span></i><span style="font-style: normal"><span style="font-weight: normal">
parameter controls a digital “gain” on the detected DC total
power output.</span></span></p>
<p class="western"><span style="font-style: normal"><span style="font-weight: normal">The
–</span></span><i><span style="font-weight: normal">decln</span></i><span style="font-style: normal"><span style="font-weight: normal">
parameter sets the astronomic declination associated with the
observation.</span></span></p>
<p class="western"><span style="font-style: normal"><span style="font-weight: normal">The
–</span></span><i><span style="font-weight: normal">device
</span></i><span style="font-style: normal"><span style="font-weight: normal">parameter
specifies the device string to use with the </span></span><i><span style="font-weight: normal">osmosdr</span></i><span style="font-style: normal"><span style="font-weight: normal">
hardware source. </span></span><i><span style="font-weight: normal">Further
discussion of this later in the document.</span></i></p>
<p class="western"><span style="font-style: normal"><span style="font-weight: normal">The
–</span></span><i><span style="font-weight: normal">fftsize</span></i><span style="font-style: normal"><span style="font-weight: normal">
parameter sets the number of FFT bins used for spectral
determinations. The default value is adequate for most use cases.</span></span></p>
<p class="western"><span style="font-style: normal"><span style="font-weight: normal">The
–</span></span><i><span style="font-weight: normal">frequency
</span></i><span style="font-style: normal"><span style="font-weight: normal">parameter
sets the tuned center frequency, in Hz.</span></span></p>
<p class="western"><span style="font-style: normal"><span style="font-weight: normal">The
–</span></span><i><span style="font-weight: normal">gain</span></i><span style="font-style: normal"><span style="font-weight: normal">
parameter sets the RF gain of the hardware device, in dB, typically.</span></span></p>
<p class="western"><span style="font-style: normal"><span style="font-weight: normal">The
–</span></span><i><span style="font-weight: normal">ifgain</span></i><span style="font-style: normal"><span style="font-weight: normal">
parameter sets the IF gian of the hardware device, in dB. This is
only supported by some types of hardware.</span></span></p>
<p class="western"><span style="font-style: normal"><span style="font-weight: normal">The
–</span></span><i><span style="font-weight: normal">latitude
</span></i><span style="font-style: normal"><span style="font-weight: normal">parameter
sets the local geographic latitude of the observatory.</span></span></p>
<p class="western"><span style="font-style: normal"><span style="font-weight: normal">The
–</span></span><i><span style="font-weight: normal">longitude</span></i><span style="font-style: normal"><span style="font-weight: normal">
parameter sets the local geographic longitude of the observatory.</span></span></p>
<p class="western"><span style="font-style: normal"><span style="font-weight: normal">The
–</span></span><i><span style="font-weight: normal">mode</span></i><span style="font-style: normal"><span style="font-weight: normal">
parameter sets the operating mode. For a single receiver, choose
“total”. If you have two receiver channels, then choose either
“differential” or “interferometer”.</span></span></p>
<p class="western"><span style="font-style: normal"><span style="font-weight: normal">The
–</span></span><i><span style="font-weight: normal">prefix
</span></i><span style="font-style: normal"><span style="font-weight: normal">parameter
sets the file-name prefix used, including any directories.</span></span></p>
<p class="western"><span style="font-style: normal"><span style="font-weight: normal">The
–</span></span><i><span style="font-weight: normal">ra </span></i><span style="font-style: normal"><span style="font-weight: normal">parameter
defines the observation RA – used mostly for documenting
observations.</span></span></p>
<p class="western"><span style="font-style: normal"><span style="font-weight: normal">The
–</span></span><i><span style="font-weight: normal">rfilist</span></i><span style="font-style: normal"><span style="font-weight: normal">
parameter specifies a list (separated by commas) of frequencies that
contain RFI, and should not be counted when calculating total power
across the spectrum.</span></span></p>
<p class="western"><span style="font-style: normal"><span style="font-weight: normal">The
–</span></span><i><span style="font-weight: normal">srate</span></i><span style="font-style: normal"><span style="font-weight: normal">
parameter specifies the hardware sample-rate. Different hardware
supports different rates, and generally higher rates require a
faster/better computer host.</span></span></p>
<p class="western"><span style="font-style: normal"><span style="font-weight: normal">The
–</span></span><i><span style="font-weight: normal">zerotime
</span></i><span style="font-style: normal"><span style="font-weight: normal">parameter
can be used to specify an LMST during which no spectral components
are expected to show up in the beam--used for (optional)
</span></span><span style="font-style: normal"><b>baseline-subtraction</b></span><span style="font-style: normal"><span style="font-weight: normal">
in spectral data. This is only really useful for spectral line work,
such as with the </span></span><i><span style="font-weight: normal">hydrogen
line</span></i><span style="font-style: normal"><span style="font-weight: normal">.
If the value is invalid (which is the default), no such
baseline-recording will be performed.</span></span></p>
<p class="western"><span style="font-style: normal"><span style="font-weight: normal">The
–</span></span><i><span style="font-weight: normal">clock </span></i><span style="font-style: normal"><span style="font-weight: normal">parameter
specifies the reference clock source. Not all hardware supports this
option.</span></span></p>
<p class="western"><span style="font-style: normal"><span style="font-weight: normal">The
–</span></span><i><span style="font-weight: normal">ppstime
</span></i><span style="font-style: normal"><span style="font-weight: normal">parameter
specifies the source of the 1PPS signal. Not all hardware supports
this option.</span></span></p>
<ol>
<li><h1 class="western" style="font-weight: normal">Device options</h1>
</ol>
<p class="western"><span style="font-weight: normal">The
</span><i><span style="font-weight: normal">spectro_radiometer
</span></i><span style="font-weight: normal">application uses the
</span><i><span style="font-weight: normal">gr-osmosdr </span></i><span style="font-style: normal"><span style="font-weight: normal">abstraction
within Gnu Radio to provide support for many different types of SDR
hardware.</span></span></p>
<p class="western"><span style="font-style: normal"><span style="font-weight: normal">The
</span></span><span style="font-style: normal"><b>general</b></span><span style="font-style: normal"><span style="font-weight: normal">
form is:</span></span></p>
<pre class="western" style="margin-left: 0.5in; widows: 0; orphans: 0">
<span style="font-style: normal"><span style="font-weight: normal">--device
“</span></span><i><span style="font-weight: normal">hwstring1</span></i><span style="font-style: normal"><span style="font-weight: normal">
</span></span><i><span style="font-weight: normal">hwstring2</span></i><span style="font-style: normal"><span style="font-weight: normal">”</span></span></pre>
<pre class="western" style="margin-left: 0.5in; widows: 0; orphans: 0">
<br>
</pre>
<p class="western"><span style="font-style: normal"><span style="font-weight: normal">Now,
since </span></span><i><span style="font-weight: normal">spectro_radiometer</span></i><span style="font-style: normal"><span style="font-weight: normal">
supports </span></span><span style="font-style: normal"><b>two</b></span><span style="font-style: normal"><span style="font-weight: normal">
channels, in many cases, with only a single receiver, the 2</span></span><sup><span style="font-style: normal"><span style="font-weight: normal">nd</span></span></sup><span style="font-style: normal"><span style="font-weight: normal">
</span></span><i><span style="font-weight: normal">hwstring</span></i><span style="font-style: normal"><span style="font-weight: normal">,
above should be: “file=/dev/zero,rate=20e6”.</span></span></p>
<p style="margin-top: 0.17in; margin-bottom: 0.08in; font-style: normal; font-weight: normal; line-height: 100%; page-break-after: avoid">
<font face="Liberation Sans, Arial, sans-serif"><font size="4" style="font-size: 14pt">Single
RTL-SDR</font></font></p>
<p class="western"><span style="font-style: normal"><span style="font-weight: normal">For
a single </span></span><i><span style="font-weight: normal">RTL-SDR</span></i><span style="font-style: normal"><span style="font-weight: normal">
device, the –device option looks like:</span></span></p>
<pre class="western" style="margin-left: 0.5in; widows: 0; orphans: 0">
<span style="font-style: normal"><span style="font-weight: normal">--device
“rtl=</span></span><i><span style="font-weight: normal">index-or-name</span></i><span style="font-style: normal"><span style="font-weight: normal">
file=/dev/zero,rate=20e6”</span></span></pre>
<pre class="western" style="margin-left: 0.5in; widows: 0; orphans: 0">
<br>
</pre>
<p class="western"><span style="font-style: normal"><span style="font-weight: normal">Recall
that for RTL devices, one can either specify the device </span></span><i><span style="font-weight: normal">index
</span></i><span style="font-style: normal"><span style="font-weight: normal">which
is simply the index from the order in which RTL devices were
</span></span><span style="font-style: normal"><b>enumerated</b></span><span style="font-style: normal"><span style="font-weight: normal">
at boot time, or you can use the serial-number of the device, like
“SKY1” or “ASTRON”, etc. See the </span></span><i><span style="font-weight: normal">rtl_eeprom</span></i><span style="font-style: normal"><span style="font-weight: normal">
tool for setting the serial number to allow unique device
identification.</span></span></p>
<p style="margin-top: 0.17in; margin-bottom: 0.08in; font-style: normal; font-weight: normal; line-height: 100%; page-break-after: avoid">
<font face="Liberation Sans, Arial, sans-serif"><font size="4" style="font-size: 14pt">Dual
RTL-SDR</font></font></p>
<p class="western"><span style="font-style: normal"><span style="font-weight: normal">With
a dual-</span></span><i><span style="font-weight: normal">RTLSDR</span></i><span style="font-style: normal"><span style="font-weight: normal">
configuration, you can do differential measurements, with one device
perhaps terminated in a load, or connected to a reference dish feed,
or reference antenna, etc:</span></span></p>
<pre class="western" style="margin-left: 0.5in; widows: 0; orphans: 0">
<span style="font-style: normal"><span style="font-weight: normal">--device
“rtl=</span></span><i><span style="font-weight: normal">index-or-name1</span></i><span style="font-style: normal"><span style="font-weight: normal">
rtl=</span></span><i><span style="font-weight: normal">index-or-name2</span></i><span style="font-style: normal"><span style="font-weight: normal">”</span></span></pre>
<p class="western"><span style="font-style: normal"><span style="font-weight: normal">The
key thing to understand is that the first device is always the
notional </span></span><span style="font-style: normal"><b>sky
</b></span><span style="font-style: normal"><span style="font-weight: normal">channel
and the 2</span></span><sup><span style="font-style: normal"><span style="font-weight: normal">nd</span></span></sup><span style="font-style: normal"><span style="font-weight: normal">
device is always the notional </span></span><span style="font-style: normal"><b>reference
</b></span><span style="font-style: normal"><span style="font-weight: normal">channel</span></span><span style="font-style: normal"><b>.</b></span></p>
<p class="western" style="font-style: normal; font-weight: normal">You
will also specify:</p>
<pre class="western" style="margin-left: 0.5in; font-style: normal; font-weight: normal; widows: 0; orphans: 0">
--mode differential</pre>
<pre class="western" style="margin-left: 0.5in; widows: 0; orphans: 0">
<br>
</pre>
<p class="western" style="font-style: normal; font-weight: normal">On
the command line, to indicate that differential observations should
be used.</p>
<p style="margin-top: 0.17in; margin-bottom: 0.08in; font-style: normal; font-weight: normal; line-height: 100%; page-break-after: avoid">
<font face="Liberation Sans, Arial, sans-serif"><font size="4" style="font-size: 14pt">Single
AirSpy</font></font></p>
<p class="western"><span style="font-style: normal"><span style="font-weight: normal">To
use an </span></span><i><span style="font-weight: normal">AirSpy</span></i><span style="font-style: normal"><span style="font-weight: normal">:</span></span></p>
<pre class="western" style="margin-left: 0.5in; font-style: normal; font-weight: normal; widows: 0; orphans: 0">
--device “airspy=0 file=/dev/zero,rate=20e6”</pre>
<pre class="western" style="margin-left: 0.5in; widows: 0; orphans: 0">
<br>
</pre>
<p class="western"><span style="font-style: normal"><span style="font-weight: normal">You
will need to specify a</span></span><i><span style="font-weight: normal">
–srate</span></i><span style="font-style: normal"><span style="font-weight: normal">
option that is compatible with the hardware. For </span></span><i><span style="font-weight: normal">AirSpy
R2</span></i><span style="font-style: normal"><span style="font-weight: normal">,
available rates are 10e6 and 2.5e6. For </span></span><i><span style="font-weight: normal">AirSpy
Mini </span></i><span style="font-style: normal"><span style="font-weight: normal">available
rates are 3.0e6 and 6.0e6.</span></span></p>
<p style="margin-top: 0.17in; margin-bottom: 0.08in; font-style: normal; font-weight: normal; line-height: 100%; page-break-after: avoid">
<font face="Liberation Sans, Arial, sans-serif"><font size="4" style="font-size: 14pt">USRP
B2xx</font></font></p>
<p class="western">For a USRP B200, using the osmocom-UHD driver:</p>
<p class="western">[single channel]</p>
<pre class="western" style="margin-left: 0.19in; widows: 0; orphans: 0">
--device “uhd,type=b200,num_recv_frames=128,subdev='A:A'
file=/dev/zero,rate=20e6”</pre>
<pre class="western" style="margin-left: 0.5in; widows: 0; orphans: 0">
<br>
</pre>
<pre class="western" style="widows: 0; orphans: 0">[dual channel]</pre>
<pre class="western" style="margin-left: 0.25in; widows: 0; orphans: 0">
--device “uhd,type=b200,num_recv_frames=256,nchan=2,subdev='A:A
A:B'”</pre>
<p class="western"><br><br>
</p>
<p class="western">In the 2<sup>nd</sup>, dual-channel case, this can
be in support of either<i> differential</i> or <i>interferometer</i>
mode. Use the <i>–mode</i> option appropriately.</p>
<p class="western">The B2xx series is very <i>sample-rate agile</i>,
so it's possible to pick a sample rate that's very close matching the
compute hardware and local-RFI environment.</p>
<p style="margin-top: 0.17in; margin-bottom: 0.08in; line-height: 100%; page-break-after: avoid">
<font face="Liberation Sans, Arial, sans-serif"><font size="4" style="font-size: 14pt">USRP1
with WBX/SBX/CBX/RFX cards</font></font></p>
<p class="western">For a USRP1, using the osmocom-UHD driver:</p>
<pre class="western" style="margin-left: 0.5in; widows: 0; orphans: 0">
--device “uhd,type=usrp1,num_recv_frames=128,subdev=A:0
file=/dev/zero,rate=20e6”</pre>
<pre class="western" style="margin-left: 0.5in; widows: 0; orphans: 0">
<br>
</pre>
<p class="western">Dual channel support has not been tested on the
USRP1, and requires different FPGA firmware.</p>
<p class="western">Sample rates can be any proper integer fraction of
64MHz, but rates above 8Msps aren't really supported.</p>
<p style="margin-top: 0.17in; margin-bottom: 0.08in; line-height: 100%; page-break-after: avoid">
<font face="Liberation Sans, Arial, sans-serif"><font size="4" style="font-size: 14pt">LimeSDR</font></font></p>
<p class="western">For a LIMESDR-USB (NOT the mini):</p>
<p class="western">[single channel]</p>
<pre class="western" style="margin-left: 0.5in; widows: 0; orphans: 0">
--device “soapy,driver=lime”</pre>
<pre class="western" style="margin-left: 0.5in; widows: 0; orphans: 0">
<br>
</pre>
<pre class="western" style="widows: 0; orphans: 0">[dual channel]</pre>
<pre class="western" style="margin-left: 0.5in; widows: 0; orphans: 0">
--device “soapy,driver=lime,nchan=2”</pre>
<pre class="western" style="widows: 0; orphans: 0"><br>
</pre>
<p class="western">Both <i>differential </i><span style="font-style: normal">and
</span><i>interferometer </i><span style="font-style: normal">modes
are supported.</span></p>
<p class="western" style="font-style: normal">You will also have to
specify the appropriate antenna port, using the –antenna option. My
preference is to use the “LNAW” port:</p>
<pre class="western" style="margin-left: 0.5in; font-style: normal; widows: 0; orphans: 0">
--antenna LNAW</pre>
<pre class="western" style="margin-left: 0.5in; widows: 0; orphans: 0">
<br>
</pre>
<p class="western"><span style="font-style: normal">The </span><i>LimeSDR</i><span style="font-style: normal">
is reasonably sample-rate agile, very much like the USRP B210 in this
regard.</span></p>
<p style="margin-top: 0.17in; margin-bottom: 0.08in; font-style: normal; line-height: 100%; page-break-after: avoid">
<font face="Liberation Sans, Arial, sans-serif"><font size="4" style="font-size: 14pt">Other
Hardware</font></font></p>
<p class="western"><span style="font-style: normal">Other hardware
that is supported by </span><i>gr-osmosdr</i><span style="font-style: normal">
will probably also work, but hasn't been tested explicitly with
</span><i>spectro_radiometer.</i></p>
<ol>
<ol>
<ol>
<li><h3 class="western" style="font-style: normal; font-weight: normal">
User Interface</h3>
</ol>
</ol>
</ol>
<p class="western"><span style="font-style: normal"><span style="font-weight: normal">The
application provides a </span></span><i><span style="font-weight: normal">GUI,
</span></i><span style="font-style: normal"><span style="font-weight: normal">based
on the standard </span></span><i><span style="font-weight: normal">Qt
</span></i><span style="font-style: normal"><span style="font-weight: normal">widgets
provided by </span></span><i><span style="font-weight: normal">Gnu
Radio</span></i><span style="font-style: normal"><span style="font-weight: normal">.</span></span></p>
<p style="margin-top: 0.17in; margin-bottom: 0.08in; line-height: 100%; page-break-after: avoid">
<font face="Liberation Sans, Arial, sans-serif"><font size="4" style="font-size: 14pt">Main
Window</font></font></p>
<p class="western" style="font-style: normal; font-weight: normal"><img src="data:image/png;base64,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" name="Image1" align="left" width="779" height="413" border="0"><br><br>
</p>
<p class="western" style="font-style: normal; font-weight: normal">This
panel provides access to various spectral plots, showing (possibly
base-lined) Doppler and Frequency views of the same spectrum, as well
as “raw” spectral information from both devices.</p>
<p class="western"><span style="font-style: normal"><span style="font-weight: normal">In
the case of the </span></span><i><span style="font-weight: normal">Doppler</span></i><span style="font-style: normal"><span style="font-weight: normal">
and </span></span><i><span style="font-weight: normal">Frequency</span></i><span style="font-style: normal"><span style="font-weight: normal">
spectral displays, only the notional “Sky1” channel spectrum is
displayed (or the 1</span></span><sup><span style="font-style: normal"><span style="font-weight: normal">st</span></span></sup><span style="font-style: normal"><span style="font-weight: normal">
channel in the case of interferometry).</span></span></p>
<p class="western"><span style="font-style: normal"><span style="font-weight: normal">The
display itself is governed by the behavior of a Qt plot widget. The
middle mouse button pops up a menu to control such things as
auto-scaling, axis limits, etc. More can be found in </span></span><i><span style="font-weight: normal">Gnu
Radio</span></i><span style="font-style: normal"><span style="font-weight: normal">
documentation.</span></span></p>
<p class="western"><span style="font-style: normal"><span style="font-weight: normal">The
</span></span><i><span style="font-weight: normal">FFT Averaging
</span></i><span style="font-style: normal"><span style="font-weight: normal">control
controls the averaging applied to the </span></span><span style="font-style: normal"><b>displayed
</b></span><span style="font-style: normal"><span style="font-weight: normal">spectral
information. The </span></span><i><span style="font-weight: normal">Set
Baseline </span></i><span style="font-style: normal"><span style="font-weight: normal">records
a notional </span></span><i><span style="font-weight: normal">baseline
</span></i><span style="font-style: normal"><span style="font-weight: normal">spectrum,
which is subtracted from the incoming spectrum to provide a
flattening and RFI-excision function for display purposes. The </span></span><i><span style="font-weight: normal">Clear
Baseline </span></i><span style="font-style: normal"><span style="font-weight: normal">function
clears this recorded baseline.</span></span></p>
<p class="western"><span style="font-style: normal"><span style="font-weight: normal">The
</span></span><i><span style="font-weight: normal">Frequency </span></i><span style="font-style: normal"><span style="font-weight: normal">and
</span></span><i><span style="font-weight: normal">RF Gain </span></i><span style="font-style: normal"><span style="font-weight: normal">controls
set the appropriate parameters in the hardware. Like most such
numerical inputs, exponential notation is accepted (1420.4058e6, for
example).</span></span></p>
<p class="western"><span style="font-style: normal"><span style="font-weight: normal">The
</span></span><i><span style="font-weight: normal">Quick Annotation
</span></i><span style="font-style: normal"><span style="font-weight: normal">input
is used to add time-stamped annotation to an annotation file that is
an adjunct to the observing data.</span></span></p>
<p class="western" style="font-style: normal; font-weight: normal"><br><br>
</p>
<p style="margin-top: 0.17in; margin-bottom: 0.08in; line-height: 100%; page-break-after: avoid">
<font face="Liberation Sans, Arial, sans-serif"><font size="4" style="font-size: 14pt">Continuum
Window</font></font></p>
<p class="western"><img src="data:image/png;base64,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" name="Image2" align="left" width="783" height="426" border="0"><br><br>
</p>
<p class="western">This panel shows the Continuum <i>Total Power</i>,
<i>Differential Power</i>, or <i>Correlation</i><span style="font-style: normal">
depending on the operating mode of the software. For simplicity, only
the </span><i>Cos</i><span style="font-style: normal"> component of
the complex correlation (interferometer mode) is displayed, but both
</span><i>Cos</i><span style="font-style: normal"> and </span><i>Sin</i><span style="font-style: normal">
components are actually logged.</span></p>
<p class="western"><span style="font-style: normal">The </span><i>Enable
DC Block </i><span style="font-style: normal">control applies only to
</span><i>interferometer mode </i><span style="font-style: normal">and
applies a high-pass (DC block) component to the correlation
calculations. Since useful observations will have a
decidedly-non-zero fringe rate, this helps to filter out long-term DC
offset drift.</span></p>
<p class="western"><span style="font-style: normal">The </span><i>Phase
Angle Adjust</i><span style="font-style: normal"> control is used to
adjust the relative phase angle between the two channels, and again
is only applied in </span><i>interferometer </i><span style="font-style: normal">mode.</span></p>
<p class="western"><span style="font-style: normal">The </span><i>Fringe
Stop </i><span style="font-style: normal">control is used to apply a
fringe-stopping rotation to the relative phase-angle between the two
channels in </span><i>interferometer</i><span style="font-style: normal">
mode. It must have correct inputs for </span><i>baseline-length</i><span style="font-style: normal">,
</span><i>frequency</i><span style="font-style: normal">, </span><i>declination</i><span style="font-style: normal">
and </span><i>target RA</i><span style="font-style: normal">, and
local</span><i> latitude</i><span style="font-style: normal"> and
</span><i>longitude </i><span style="font-style: normal">in order to
operate correctly.</span></p>
<p class="western"><span style="font-style: normal">The </span><i>DC
Gain</i><span style="font-style: normal"> control is used to apply a
simple numerical multiplier to the values displayed and logged in the
data files for the various continuum data products: </span><i>total-power</i><span style="font-style: normal">
for A and B, </span><i>Differential</i><span style="font-style: normal">,
and the </span><i>complex correlations</i><span style="font-style: normal">.</span></p>
<p class="western"><span style="font-style: normal">The display is
again a </span><i>Qt plot</i><span style="font-style: normal">
display, and the same controls as in the spectral display can be
used—middle mouse button pops up a control panel menu, etc.</span></p>
<ol>
<ol>
<ol start="2">
<li><h3 class="western" style="font-style: normal; font-weight: normal">
Data Files</h3>
</ol>
</ol>
</ol>
<p class="western" style="font-style: normal; font-weight: normal">The
application produces data files for both spectral and
total-power/differential/interferometer data.</p>
<p class="western"><span style="font-style: normal"><span style="font-weight: normal">Files
are written with whatever prefix was specified with the </span></span><i><span style="font-weight: normal">–prefix
</span></i><span style="font-style: normal"><span style="font-weight: normal">option,
described earlier, and a generated name. A new file is begun at
00:00:00 UTC.</span></span></p>
<p class="western"><span style="font-style: normal"><span style="font-weight: normal">The
</span></span><span style="font-style: normal"><b>spectral </b></span><span style="font-style: normal"><span style="font-weight: normal">data
are written into files:</span></span></p>
<pre class="western" style="margin-left: 0.5in; widows: 0; orphans: 0">
<i><span style="font-weight: normal">YYYYMMDD</span></i><span style="font-style: normal"><span style="font-weight: normal">-spec.csv</span></span></pre>
<pre class="western" style="widows: 0; orphans: 0"><br>
</pre>
<p class="western" style="font-style: normal; font-weight: normal">Each
record in the file consists of a record header:</p>
<p class="western" style="margin-left: 0.5in; font-style: normal; font-weight: normal; line-height: 120%; widows: 0; orphans: 0">
UTC(HH,MM,SS),LMST(HH,MM,SS),frequency-in-MHz,bandwidth-in-Hz,declination,</p>
<p class="western" style="font-style: normal; font-weight: normal; line-height: 120%; widows: 0; orphans: 0">
Followed by a large number (FFT size) of comma-separated values in
dB.</p>
<p class="western" style="font-style: normal; font-weight: normal; line-height: 120%; widows: 0; orphans: 0">
These records are produced every 20 seconds.</p>
<p class="western" style="line-height: 120%; widows: 0; orphans: 0"><span style="font-style: normal"><span style="font-weight: normal">The</span></span><span style="font-style: normal"><b>
total-power/differential/interferometer </b></span><span style="font-style: normal"><span style="font-weight: normal">records
are produced in a file:</span></span></p>
<pre class="western" style="margin-left: 0.5in; widows: 0; orphans: 0">
<i><span style="font-weight: normal">YYYYMMDD</span></i><span style="font-style: normal"><span style="font-weight: normal">-tp.csv</span></span></pre>
<pre class="western" style="line-height: 120%; widows: 0; orphans: 0">
<br>
</pre>
<p class="western" style="font-style: normal; font-weight: normal">Each
record in the file consists of a record header:</p>
<p class="western" style="margin-left: 0.5in; line-height: 120%; widows: 0; orphans: 0">
<i><span style="font-weight: normal">UTC</span></i><span style="font-style: normal"><span style="font-weight: normal">(HH,MM,SS),</span></span><i><span style="font-weight: normal">LMST</span></i><span style="font-style: normal"><span style="font-weight: normal">(HH,MM,SS),frequency-in-MHz,bandwidth-in-Hz,declination,</span></span></p>
<p class="western" style="line-height: 120%; widows: 0; orphans: 0">Followed
by various items of data:</p>
<pre class="western" style="margin-left: 0.5in; widows: 0; orphans: 0">
tpa,tpb,diff,corr_cos,corr_sin</pre>
<pre class="western" style="margin-left: 0.5in; widows: 0; orphans: 0">
<br>
</pre>
<p class="western">Where <i><span style="font-weight: normal">tpa,tpb
</span></i><span style="font-style: normal"><span style="font-weight: normal">is
the total power calculated for the first and second channels, </span></span><i><span style="font-weight: normal">diff
</span></i><span style="font-style: normal"><span style="font-weight: normal">is
the difference of these channels (a-b). When in single-receiver
mode, the </span></span><i><span style="font-weight: normal">tpb
</span></i><span style="font-style: normal"><span style="font-weight: normal">channel
will always be 0, and therefore the </span></span><i><span style="font-weight: normal">diff
</span></i><span style="font-style: normal"><span style="font-weight: normal">channel
will be the same as the </span></span><i><span style="font-weight: normal">tpa</span></i><span style="font-style: normal"><span style="font-weight: normal">
channel. The </span></span><i><span style="font-weight: normal">corr_cos
</span></i><span style="font-style: normal"><span style="font-weight: normal">and
</span></span><i><span style="font-weight: normal">corr_sin </span></i><span style="font-style: normal"><span style="font-weight: normal">are
the </span></span><i><span style="font-weight: normal">cosine</span></i><span style="font-style: normal"><span style="font-weight: normal">
and </span></span><i><span style="font-weight: normal">sine</span></i><span style="font-style: normal"><span style="font-weight: normal">
components of the complex correlation of the two channels—these
will only be meaningful when in </span></span><i><span style="font-weight: normal">interferometer</span></i><span style="font-style: normal"><span style="font-weight: normal">
mode.</span></span></p>
<p class="western" style="font-style: normal; font-weight: normal">These
records are produced every 2 seconds.</p>
<p class="western"><br><br>
</p>
<div id="sdfootnote1">
<p class="sdfootnote-western"><a class="sdfootnotesym" name="sdfootnote1sym" href="#sdfootnote1anc">1</a>See:
https://github.com/ccera-astro/spectro_radiometer</p>
</div>
</body>
</html>