ConvertBot: ICE module test routines (NextMidas Only)

2020-04-27T19:19:33Z

ICE module test routines (NextMidas Only)

ConvertBot: ICE module test routines (NextMidas Only)

2020-04-27T18:59:46Z

ICE module test routines (NextMidas Only)

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ICE module test routines (NextMidas Only)
<pre>
<function> Function to perform ( BAND, CHAR, NPR, ... )
<out> Type 3000 output data file
<in1> Type 1000/2000 scalar frequency domain input file

This primitive will perform signal processing algorithms on waveforms received
from an ICE module. The input data is assumed to be the magnitude of a
transformed waveform. Passing in complex or time domain waveform will result
in unexpected behavior.

The valid functions are:

BAND <out> <in1> <fs> <fbw> <thresh>
Characterize a band-limited frequncy spectrum.

Additional Arguments:
fs - Sampling rate of the waveform (in Hertz)
fbw - Fractional bandwidth the waveform occupies (perc. b.w.)
thresh - Value for comparison (in dB)

Outputs:
Creates a type 3000 data file with the following sub-records:
NF - Median Noise Floor value inside signal bandwidth (in dB)
IN - Percentage of in-band bins above NF+thresh
OUT - Percentage of out-of-band bins above NF+thresh

Example:
wave tmp1 shape=white
firkais tmpfir band .5 .3 ,,, 10
fdfilter tmp1 tmpfir tmp2
fft/mag tmp2 ftmp2
icemeas band flist ftmp2 1 .3 3
list flist /bg
fcalc fplot ftmp2 log 10 *
plot fplot type=line

CHAR <out> <in1> <fs> <fbw> <thresh> <freq1>
Characterize a frequency band with one active signal.

Additional Arguments:
fs - Sampling rate of the waveform (in Hertz)
fbw - Fractional bandwidth the waveform occupies (perc. b.w.)
thresh - Value for comparison (in dB)
freq1 - Frequency of the tone (in Hertz)

Output:
Creates a type 3000 data file with the following sub-records:
SNR - Signal-to-Noise Ratio in dB
SFDR - Spur-free dynamic range in dB
NF - Median Noise Floor in dB (adjusted for FFT size)
THRESH - Percentage of bins above NF+thresh
SIG - Signal Amplitude in dB
MAXSPUR - Max. Spur Amplitude in dB
MAXSPURFREQ - Max. Spur Frequency

Example:
wave tmp freq=10e6 elem=128k delta=5e-9
fft/mag tmp ftmp 32k bh92
icemeas char flist ftmp 200e6 1 3 10e6
list flist /bg
fcalc fplot ftmp log 10 *
plot fplot type=line

HARM <out> <in1> <fs> <thresh> <freq1> <freq2> <order>
Characterize a frequency band with two active tones.

Additional Arguments:
fs - sampling rate of the waveform (in Hertz)
thresh - Value for comparison (in dB)
freq1 - Frequency of the 1st signal (in Hertz)
freq2 - Frequency of the 2nd signal (in Hertz)
order - Number of harmonics and intermods to consider

Output:
Creates a type 3000 data file with the following sub-records:
SNR - Signal-to-Noise Ratio in dB
S1S2 - Peak amplitude delta between the 2 signals in dB
SFDR - Spur-free dynamic range in dB
NF - Median Noise Floor in dB (adjusted for FFT size)
THRESH - Percentage of bins above NF+thresh
MAXSPUR - Max. spur amplitude in dB
MAXSPURFREQ - Max. spur frequency in Hertz
Optional subrecord (based upon order):
HNF1FREQ - Nth order harmonic frequency from 1st signal in Hertz
HNF1POW - Nth order harmonic power from 1st signal in dB
HNF1DBC - Nth order harmonic power below carrier from 1st signal in dB
INAFREQ - Nth order intermod 1 frequency in Hertz
INAPOW - Nth order intermod 1 power in dB
INADBC - Nth order intermod 1 power below carrier in dB

Example:
home fat ice
%gentones tmp 100e6 128k 1 5k 4 5k 64 f1 f2
home restore
fft/mag tmp ftmp 32k bh92
icemeas harm flist ftmp 100e6 6 f1 f2 2
list flist /bg
fcalc fplot ftmp log 10 *
plot fplot type=line

MSE <out> <in1> <in2> <segments>
Determine the mean squared error between two waveforms. One file should be
a templated or 'clean' version of the waveform. Specify the number of
(frequency) segments to partition the transformed waveform for increased
resolution. This is particularly useful for 'noise-like' waveforms. Each
(frequency) segment will get averaged together for comparison. Note, the
two signals must have the same transform size (NFFT).

Additional Arguments:
in2 - Templated/ideal comparison signal
segments - Number of frequency partitions

Output:
Creates a type 3000 data file with the following sub-records:
AVERAGE - Average mean-squared error between two signals per segment
WORST - Worst mean-squared error between signals (single sample)

Example:
wave twave1 elem=33000 amp=512
wave nwave elem=33000 shape=white
fcalc twave2 twave1 nwave +
thin twave1 mwave1 232
thin twave2 mwave2 ,, 32k
fft/mag mwave1 fwave1 nfft=1k win=bh92 navg=10
fft/mag mwave2 fwave2 nfft=1k win=bh92 navg=10
icemeasure mse flist fwave1 fwave2 10
list flist

NOISE <out> <in1> <fs> <fbw> <thresh>
Characterize a noise filled frequency spectrum.

Additional Arguments:
fs - Sampling rate of the waveform (in Hertz)
fbw - Fractional bandwidth the waveform occupies (perc. b.w.)
thresh - Value for comparison (in dB)

Output:
Creates a type 3000 data file with the following sub-records:
NF - Median Noise Floor with adjustment for FFT size (in dB)
THRESH - Percentage of bins above NF+thresh
MAXSPUR - Max. Spur Amplitude (in dB)
MAXSPURFREQ - Max. Spur Frequnecy (in Herz)

Example:
calc xdel 1 1k /
wave mwave elem=32k shape=white delta=xdel
fft/mag mwave fwave nfft=1k win=bh92 navg=10
icemeasure noise flist fwave 1k .5 3
list flist /bg
fcalc fplot fwave log 10 *
plot fplot type=line

NOTCH <out> <in1> <fs> <nbw> <fbw>
Characterize the carrier suppression algorithm on the L-Band module. The
input waveform is expected to be the frequency domain output of the L-Band
tuner module. Note, use a small percentage (~2%) to catch if the algorithm
is suppressing too much of the waveform.

Additional Arguments:
fs - Sampling rate of the waveform (in Hertz)
nbw - Bandwidth of the notch (in Hertz)
fbw - Fractional bandwidth the waveform occupies (perc. b.w.)

Output:
Creates a type 3000 data file with the following sub-records:
MEDIAN - Median Signal Level across the bandwidth of interest (in dB)
NOTCH - Median level of the Notch (in dB)
TONE - Amplitude of the carrier leak-through (in dB)

Example:
set rate 1000000
set card PIC1
set flags "IOM1=LB2D|MUXCLK=P|MBITS=-16|RFOPTS=(DCS)/TC=OFF/ACQ/RCVR"
set port TUNER1
picd/flags=force|^flags reset card
pic create fileo ci 4m rate
picd/flags=^flags/port=^port set card rffreq 900
picd/flags=^flags/port=^port set card rfbw 50
picd/replay=-2/port=^port/flags=^flags acquire card fileo
fft/mag fileo ftmp 64k navg=10 win=bh92
icemeasure notch flist ftmp rate 4e3 .02
list flist

NPR <out> <in1> <freq1> <bw1> <freq2> <bw2> <freqn> <bwn>
Characterize a Noise Power Ratio test signal. This function will calculate
the amplitude difference between the two passbands. It will also calculate
the notch depth.

Additional Arguments:
freq1 - First passband starting offset (percentage)
bw1 - First passband width (percentage)
freq2 - Second passband starting offset (percentage)
bw2 - Second passband width (percentage)
freqn - Notch starting offset (percentage)
bwn - Notch width (percentage)

Output:
Creates a type 3000 data file with the following sub-records:
SIGNAL - Amplitude delta amplified spectra (in dB)
NOTCH - Notch depth (in dB)

Example:
home fat ice
%gennpr/cmplx ci_npr 10k 32k 100e6 .5 .3 .05 512
home restore
fft/mag ci_npr fwave win=bh92 navg=10
icemeasure npr flist fwave .1 .4 .64 .24 .59 .02
list flist /bg
fcalc fplot fwave log 10 *
plot fplot type=line

SONET <out> <in1> <in2> <skip2> <frame> <cor> <off>
Look for correlations between two input files and determine BER

Additional Arguments:
in2 - Second input file
skip2 - Number of samples to skip at the front end of 2nd input
frame - Frame size of OC signal
cor - Number of frames to correlate over
off - Number of samples into the first input (in1) signal where
correlation was found (output result)

Output:
Creates a type 3000 data file with the following sub-records:
ERRORS - Number of errors
PROC - Number of points processed
BER - Bit Error Rate

Example:
home fat ice
wave inp1 elem=16k shape=white amp=2k
wave inp2 elem=64k shape=sin amp=4k
mergefile inp2 inp1
icemeas sonet flist inp1 inp2 0 1k 64 off
list flist /bg
say "Found match ^off samples in"
home restore

UDP <out> <in1> <levels>
Validate input ramp file

Additional Arguments:
levels - Amplitude scale (2^levels)

Output:
Creates a type 3000 data file with the following sub-records:
MAXDELTA - Largest delta between samples
ERRORS - Number of errors in file

Example:
home fat ice
set levels 10
calc amp_ 2 levels **
calc freq_ 1 2 levels 1 + ** /
wave mfile si 8k saw amp_ freq=^freq_
icemeas udp flist mfile levels
list flist /bg
home restore

Switches: NONE

Widgets: NONE

See Also: ICEFAT, PIC, PICD

</pre>

← Older revision		Revision as of 19:19, 27 April 2020
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	</pre>		</pre>
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		+	[[Category:ICE_Explain]]

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ConvertBot: ICE module test routines (NextMidas Only)

ConvertBot: ICE module test routines (NextMidas Only)