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Description
Distro: Arch Linux
version rtl-sdr: extra/rtl-sdr 1:2.0.2-1
version: extra/qspectrumanalyzer 2.2.0-12
console log:
{'bin_size': 10.0,
'crop': 0.0,
'device': '',
'gain': 37.0,
'hops': 0,
'interval': 1.0,
'ppm': 0,
'sample_rate': 2560000.0,
'single_shot': False,
'start_freq': 87.0,
'stop_freq': 108.0}
Found 1 device(s):
0: RTLSDRBlog, Blog V4, SN: 00000001
Using device 0: Generic RTL2832U OEM
rtl_power: invalid option -- 'r'
rtl_power, a simple FFT logger for RTL2832 based DVB-T receivers
Use: rtl_power -f freq_range [-options] [filename]
-f lower:upper:bin_size [Hz]
(bin size is a maximum, smaller more convenient bins
will be used. valid range 1Hz - 2.8MHz)
[-i integration_interval (default: 10 seconds)]
(buggy if a full sweep takes longer than the interval)
[-1 enables single-shot mode (default: off)]
[-e exit_timer (default: off/0)]
[-d device_index or serial (default: 0)]
[-g tuner_gain (default: automatic)]
[-p ppm_error (default: 0)]
[-T enable bias-T on GPIO PIN 0 (works for rtl-sdr.com v3 dongles)]
filename (a '-' dumps samples to stdout)
(omitting the filename also uses stdout)
Experimental options:
[-w window (default: rectangle)]
(hamming, blackman, blackman-harris, hann-poisson, bartlett, youssef)
[-c crop_percent (default: 0%, recommended: 20%-50%)]
(discards data at the edges, 100% discards everything)
(has no effect for bins larger than 1MHz)
[-F fir_size (default: disabled)]
(enables low-leakage downsample filter,
fir_size can be 0 or 9. 0 has bad roll off,
try with '-c 50%')
[-P enables peak hold (default: off)]
[-D enable direct sampling (default: off)]
[-O enable offset tuning (default: off)]
CSV FFT output columns:
date, time, Hz low, Hz high, Hz step, samples, dbm, dbm, ...
Examples:
rtl_power -f 88M:108M:125k fm_stations.csv
(creates 160 bins across the FM band,
individual stations should be visible)
rtl_power -f 100M:1G:1M -i 5m -1 survey.csv
(a five minute low res scan of nearly everything)
rtl_power -f ... -i 15m -1 log.csv
(integrate for 15 minutes and exit afterwards)
rtl_power -f ... -e 1h | gzip > log.csv.gz
(collect data for one hour and compress it on the fly)
Convert CSV to a waterfall graphic with:
http://kmkeen.com/tmp/heatmap.py.txt
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