Mercurial > ~darius > hgwebdir.cgi > pyinst
annotate rs_fsp7_noisetest.py @ 84:4b4ae555067b
Use RMS detector and fix the sweep time for more accuracy.
Add links to app notes discussing theory.
Run forever without pause and print a summary on ctrl-c
| author | Daniel O'Connor <doconnor@gsoft.com.au> |
|---|---|
| date | Thu, 03 Oct 2024 08:57:10 +0930 |
| parents | 23c96322cfb6 |
| children | 60ad91b4c67c |
| rev | line source |
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| 46 | 1 #!/usr/bin/env python |
| 2 | |
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3 # Copyright (c) 2024 |
| 46 | 4 # Daniel O'Connor <darius@dons.net.au>. All rights reserved. |
| 5 # | |
| 6 # Redistribution and use in source and binary forms, with or without | |
| 7 # modification, are permitted provided that the following conditions | |
| 8 # are met: | |
| 9 # 1. Redistributions of source code must retain the above copyright | |
| 10 # notice, this list of conditions and the following disclaimer. | |
| 11 # 2. Redistributions in binary form must reproduce the above copyright | |
| 12 # notice, this list of conditions and the following disclaimer in the | |
| 13 # documentation and/or other materials provided with the distribution. | |
| 14 # | |
| 15 # THIS SOFTWARE IS PROVIDED BY AUTHOR AND CONTRIBUTORS ``AS IS'' AND | |
| 16 # ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE | |
| 17 # IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE | |
| 18 # ARE DISCLAIMED. IN NO EVENT SHALL AUTHOR OR CONTRIBUTORS BE LIABLE | |
| 19 # FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL | |
| 20 # DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS | |
| 21 # OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) | |
| 22 # HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT | |
| 23 # LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY | |
| 24 # OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF | |
| 25 # SUCH DAMAGE. | |
| 26 # | |
| 27 | |
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28 # This script uses the "Y Factor Method" as discussed here: |
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29 # https://scdn.rohde-schwarz.com/ur/pws/dl_downloads/dl_application/application_notes/1ma178/1MA178_5e_NoiseFigure.pdf |
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30 # https://www.analog.com/en/resources/technical-articles/noise-figure-measurement-methods-and-formulas--maxim-integrated.html |
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31 # |
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32 # It requires an ENR and has hard coded values for the source we have. |
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33 |
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34 import argparse |
| 46 | 35 import math |
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36 import misc |
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37 import numpy |
| 46 | 38 import rsib |
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39 import scipy |
| 46 | 40 import scpi |
| 41 import sys | |
| 42 | |
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43 def findenr(frq): |
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44 # ENR values from the noise source |
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45 enrdb = numpy.array([15.55, 15.96, 15.68, 15.11, 15.07, 14.84, 14.77, 14.82, 14.86, 14.79, 14.83, 14.93, 14.93, 15.07, 15.19, 15.08, 15.14, 14.87, 14.97, 14.59]) |
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46 enrfrq = numpy.array([0.01e9, 0.1e9, 1.0e9, 2.0e9, 3.0e9, 4.0e9, 5.0e9, 6.0e9, 7.0e9, 8.0e9, 9.0e9, 10.0e9, 11.0e9, 12.0e9, 13.0e9, 14.0e9, 15.0e9, 16.0e9, 17.0e9, 18.0e9]) |
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47 |
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48 # Convert back to linear values |
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49 enr = 10 ** (enrdb / 10) |
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50 |
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51 # Interpolate |
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52 rtn = numpy.interp([frq], enrfrq, enr) |
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53 |
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54 # Convert to dB |
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55 rtndb = 10 * math.log10(rtn[0]) |
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56 |
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57 return rtndb |
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58 |
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59 def setup(r, freq, span, sweeps, bw, atten, time): |
| 46 | 60 # Reset to defaults |
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61 r.write('*RST') |
| 46 | 62 |
| 63 # Set to single sweep mode | |
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64 r.write('INIT:CONT OFF') |
| 46 | 65 |
| 66 # Enable display updates | |
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67 r.write('SYST:DISP:UPD ON') |
| 46 | 68 |
| 69 # Set frequency range | |
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70 r.write('SENSE1:FREQ:CENT %f Hz' % (freq)) |
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71 r.write('SENSE1:FREQ:SPAN %f Hz' % (span)) |
| 46 | 72 |
| 73 # Switch marker 1 on in screen A | |
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74 r.write('CALC:MARK1 ON') |
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75 |
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76 # Set marker to centre frequency |
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77 r.write('CALC:MARK1:X %f Hz ' % (freq)) |
| 46 | 78 |
| 79 # Enable noise measurement | |
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80 r.write('CALC:MARK1:FUNC:NOIS ON') |
| 46 | 81 |
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82 # Turn averaging on |
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83 r.write('AVER:STAT ON') |
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84 |
| 46 | 85 # Set number of sweeps |
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86 r.write('SWE:COUN %d' % (sweeps)) |
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87 |
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88 # Use RMS detector |
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89 r.write('SENS:DET RMS') |
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90 |
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91 # Set sweep time |
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92 r.write('SWE:TIME %f' % (time)) |
| 46 | 93 |
| 94 # Set resolution bandwidth | |
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95 r.write('SENS1:BAND:RES %f Hz' % (bw)) |
| 46 | 96 |
| 97 # Set video bandwidth (10x res BW) | |
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98 r.write('SENS1:BAND:VID %f Hz' % (bw * 10)) |
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99 |
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100 r.write('INP:ATT %s' % atten) |
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101 |
| 46 | 102 def getnoise(r): |
| 103 # Trigger the sweep | |
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104 r.write('INIT;*WAI') |
| 46 | 105 |
| 106 # Wait for it to be done | |
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107 r.ask('*OPC?') |
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108 |
| 46 | 109 # Set data format |
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110 r.write('FORM:DATA ASC') |
| 46 | 111 |
| 112 # Read noise value | |
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113 data = r.ask('CALC:MARK1:FUNC:NOIS:RES?') |
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114 #print 'Data - ' + data |
| 46 | 115 |
| 116 return float(data) | |
| 117 | |
| 118 def setnoise(r, en): | |
| 119 if en: | |
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120 val = 'ON' |
| 46 | 121 else: |
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122 val = 'OFF' |
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123 r.write('DIAG:SERV:NSO ' + val) |
| 46 | 124 |
| 125 def calcnf(enrdb, offdb, ondb): | |
| 48 | 126 # Not possible but noisy results may result in it happening |
| 46 | 127 if ondb <= offdb: |
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128 return None |
| 46 | 129 ydb = ondb - offdb |
| 130 y = 10 ** (ydb / 10) | |
| 131 enr = 10 ** (enrdb / 10) | |
| 132 nf = 10 * math.log10(enr / (y - 1)) | |
| 133 return nf | |
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134 |
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135 def donoisetest(r, enr, sweeps): |
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136 swt = float(r.ask('SWE:TIME?')) |
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137 print('Acquiring with noise off.. (%.1f x %d = %.1f sec)' % (swt, sweeps, swt * sweeps)) |
| 46 | 138 setnoise(r, False) |
| 139 off = getnoise(r) | |
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140 print('Acquiring with noise on.. (%.1f x %d = %.1f sec)' % (swt, sweeps, swt * sweeps)) |
| 46 | 141 setnoise(r, True) |
| 142 on = getnoise(r) | |
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143 nf = calcnf(enr, off, on) |
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144 #print(nf) |
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145 return off, on, nf |
| 46 | 146 |
| 147 if __name__ == '__main__': | |
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148 parser = argparse.ArgumentParser(description = 'Configures a Rohde Schwarz FSP7 spectrum analyser to do a noise figure test', |
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149 epilog = 'Note: video bandwidth is set to 10 times the resolution bandwidth') |
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150 parser.add_argument('-a', '--atten', default = 10, help = 'Input attenuation in dB (default: %(default).0f dB)', type = float) |
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151 parser.add_argument('-b', '--bw', default = 1000, help = 'Resolution bandwidth in Hz (default: %(default).1f Hz)', type = float) |
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152 parser.add_argument('-i', '--input', default = None, help = 'Frequency used to compute ENR (defaults to frequency)', type = float) |
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153 parser.add_argument('-p', '--pause', default = False, action = 'store_true', |
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154 help = 'Wait between measurements (when not doing N repeats, default: %(default)s)') |
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155 parser.add_argument('-r', '--repeat', help = 'Number of repetitions, if not specified do one and ask to continue', type = int) |
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156 parser.add_argument('-s', '--span', default = 1e6, help = 'Span frequency in Hz (default: %(default).0f Hz)', type = float) |
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157 parser.add_argument('-t', '--time', default = 30, help = 'Sweep time (default: %(default)f sec)', type = float) |
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158 parser.add_argument('-w', '--sweeps', default = 3, help = 'Number of sweeps to average (default: %(default)d)', type = int) |
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159 parser.add_argument('address', help = 'Spectrum analyser address', type = str) |
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160 parser.add_argument('centre', help = 'Centre frequency (Hz)', type = float) |
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161 |
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162 args = parser.parse_args() |
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163 |
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164 if args.input == None: |
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165 args.input = args.centre |
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166 |
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167 if args.time is not None and args.time <= 0: |
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168 parser.error('Sweep time must be >0') |
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169 |
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170 # Compute ENR at frequency of interest |
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171 enr = findenr(args.input) |
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172 |
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173 # Connect to the analyser |
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174 r = rsib.RSIBDevice(args.address) |
| 46 | 175 |
| 176 # ID instrument | |
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177 print('Device ID is ' + r.ask('*IDN?').decode('ascii')) |
| 46 | 178 |
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179 # Setup parameters |
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180 setup(r, args.centre, args.span, args.sweeps, args.bw, args.atten, args.time) |
| 46 | 181 |
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182 nfs = [] |
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183 print('Centre: %s, Span %s, Input %s, RBW %s, Sweeps: %d, Sweep time: %.1f sec, ENR %.2f dB' % ( |
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184 misc.sifmt(args.centre), misc.sifmt(args.span), |
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185 misc.sifmt(args.input), misc.sifmt(args.bw), |
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186 args.sweeps, args.time, enr)) |
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187 while args.repeat == None or args.repeat > 0: |
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188 try: |
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189 off, on, nf = donoisetest(r, enr, args.sweeps) |
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190 if nf is None or nf < 0: |
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191 nfstr = 'Invalid' |
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192 else: |
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193 nfstr = '%.2f dB' % (nf) |
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194 nfs.append(nf) |
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195 print('Off %.3f dBm/Hz, on %.3f dBm/Hz, NF %s' % (off, on, nfstr)) |
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196 if args.repeat == None: |
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197 if args.pause: |
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198 print('Press enter to perform a new measurement') |
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199 sys.stdin.readline() |
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200 else: |
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201 args.repeat -= 1 |
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202 except KeyboardInterrupt: |
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203 print('') |
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204 break |
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205 |
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206 if len(nfs) > 1: |
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207 nfs = numpy.array(nfs) |
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208 |
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209 # XXX: not sure mean/std of dBm/Hz values is really meaningful |
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210 print('N: %d, NF min: %.1f dBm/Hz, max: %.1f dBm/Hz, avg: %.1f dBm/Hz, stddev: %.1f' % ( |
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211 len(nfs), nfs.min(), nfs.max(), nfs.mean(), numpy.std(nfs))) |