CMakeified almost everything. Test code in python/ and apps other than uhd_modes.py still need minor updating.
This commit is contained in:
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# Copyright 2011 Free Software Foundation, Inc.
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#
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# This file is part of GNU Radio
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#
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# GNU Radio is free software; you can redistribute it and/or modify
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# it under the terms of the GNU General Public License as published by
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# the Free Software Foundation; either version 3, or (at your option)
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# any later version.
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#
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# GNU Radio is distributed in the hope that it will be useful,
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# but WITHOUT ANY WARRANTY; without even the implied warranty of
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# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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# GNU General Public License for more details.
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#
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# You should have received a copy of the GNU General Public License
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# along with GNU Radio; see the file COPYING. If not, write to
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# the Free Software Foundation, Inc., 51 Franklin Street,
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# Boston, MA 02110-1301, USA.
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include(GrPython)
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GR_PYTHON_INSTALL(
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PROGRAMS
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uhd_modes.py
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DESTINATION bin
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)
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Executable
+132
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#!/usr/bin/env python
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from modes_parse import modes_parse
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import mlat
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import numpy
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import sys
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#sffile = open("27augsf3.txt")
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#rudifile = open("27augrudi3.txt")
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#sfoutfile = open("sfout.txt", "w")
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#rudioutfile = open("rudiout.txt", "w")
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sfparse = modes_parse([37.762236,-122.442525])
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sf_station = [37.762236,-122.442525, 100]
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mv_station = [37.409348,-122.07732, 100]
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bk_station = [37.854246, -122.266701, 100]
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raw_stamps = []
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#first iterate through both files to find the estimated time difference. doesn't have to be accurate to more than 1ms or so.
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#to do this, look for type 17 position packets with the same data. assume they're unique. print the tdiff.
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#collect a list of raw timestamps for each aircraft from each station
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#the raw stamps have to be processed into corrected stamps OR distance has to be included in each
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#then postprocess to find clock delay for each and determine drift rate for each aircraft separately
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#then come up with an average clock drift rate
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#then find an average drift-corrected clock delay
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#then find rms error
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#ok so get [ICAO, [raw stamps], [distance]] for each matched record
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files = [open(arg) for arg in sys.argv[1:]]
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#files = [sffile, rudifile]
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stations = [sf_station, mv_station]#, bk_station]
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records = []
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for each_file in files:
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recordlist = []
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for line in each_file:
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[msgtype, shortdata, longdata, parity, ecc, reference, timestamp] = line.split()
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recordlist.append({"data": {"msgtype": long(msgtype, 10),\
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"shortdata": long(shortdata, 16),\
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"longdata": long(longdata, 16),\
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"parity": long(parity, 16),\
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"ecc": long(ecc, 16)},
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"time": float(timestamp)\
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})
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records.append(recordlist)
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#ok now we have records parsed into something usable that we can == with
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def feet_to_meters(feet):
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return feet * 0.3048006096012
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all_heard = []
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#gather list of reports which were heard by all stations
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for station0_report in records[0]: #iterate over list of reports from station 0
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for other_reports in records[1:]:
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stamps = [station0_report["time"]]
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stamp = [report["time"] for report in other_reports if report["data"] == station0_report["data"]]# for other_reports in records[1:]]
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if len(stamp) > 0:
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stamps.append(stamp[0])
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if len(stamps) == len(records): #found same report in all records
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all_heard.append({"data": station0_report["data"], "times": stamps})
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#print all_heard
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#ok, now let's pull out the location-bearing packets so we can find our time offset
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position_reports = [x for x in all_heard if x["data"]["msgtype"] == 17 and 9 <= (x["data"]["longdata"] >> 51) & 0x1F <= 18]
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offset_list = []
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#there's probably a way to list-comprehension-ify this but it looks hard
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for msg in position_reports:
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data = msg["data"]
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[alt, lat, lon, rng, bearing] = sfparse.parseBDS05(data["shortdata"], data["longdata"], data["parity"], data["ecc"])
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ac_pos = [lat, lon, feet_to_meters(alt)]
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rel_times = []
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for time, station in zip(msg["times"], stations):
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#here we get the estimated time at the aircraft when it transmitted
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range_to_ac = numpy.linalg.norm(numpy.array(mlat.llh2ecef(station))-numpy.array(mlat.llh2ecef(ac_pos)))
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timestamp_at_ac = time - range_to_ac / mlat.c
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rel_times.append(timestamp_at_ac)
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offset_list.append({"aircraft": data["shortdata"] & 0xffffff, "times": rel_times})
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#this is a list of unique aircraft, heard by all stations, which transmitted position packets
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#we do drift calcs separately for each aircraft in the set because mixing them seems to screw things up
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#i haven't really sat down and figured out why that is yet
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unique_aircraft = list(set([x["aircraft"] for x in offset_list]))
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print "Aircraft heard for clock drift estimate: %s" % [str("%x" % ac) for ac in unique_aircraft]
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print "Total reports used: %d over %.2f seconds" % (len(position_reports), position_reports[-1]["times"][0]-position_reports[0]["times"][0])
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#get a list of reported times gathered by the unique aircraft that transmitted them
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#abs_unique_times = [report["times"] for ac in unique_aircraft for report in offset_list if report["aircraft"] == ac]
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#print abs_unique_times
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#todo: the below can probably be done cleaner with nested list comprehensions
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clock_rate_corrections = [0]
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for i in range(1,len(stations)):
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drift_error_limited = []
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for ac in unique_aircraft:
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times = [report["times"] for report in offset_list if report["aircraft"] == ac]
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s0_times = [report[0] for report in times]
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rel_times = [report[i]-report[0] for report in times]
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#find drift error rate
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drift_error = [(y-x)/(b-a) for x,y,a,b in zip(rel_times, rel_times[1:], s0_times[0:], s0_times[1:])]
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drift_error_limited.append([x for x in drift_error if abs(x) < 1e-5])
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#flatten the list of lists (tacky, there's a better way)
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drift_error_limited = [x for sublist in drift_error_limited for x in sublist]
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clock_rate_corrections.append(0-numpy.mean(drift_error_limited))
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for i in range(len(clock_rate_corrections)):
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print "drift from %d relative to station 0: %.3fppm" % (i, clock_rate_corrections[i] * 1e6)
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#let's get the average clock offset (based on drift-corrected, TDOA-corrected derived timestamps)
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clock_offsets = [[numpy.mean([x["times"][i]*(1+clock_rate_corrections[i])-x["times"][0] for x in offset_list])][0] for i in range(0,len(stations))]
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for i in range(len(clock_offsets)):
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print "mean offset from %d relative to station 0: %.3f seconds" % (i, clock_offsets[i])
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#for the two-station case, let's now go back, armed with our clock drift and offset, and get the variance between expected and observed timestamps
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error_list = []
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for i in range(1,len(stations)):
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for report in offset_list:
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error = abs(((report["times"][i]*(1+clock_rate_corrections[i]) - report["times"][0]) - clock_offsets[i]) * mlat.c)
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error_list.append(error)
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#print error
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rms_error = (numpy.mean([error**2 for error in error_list]))**0.5
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print "RMS error in TDOA: %.1f meters" % rms_error
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Executable
+40
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#!/usr/bin/env python
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import numpy
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import mlat
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#rudi says:
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#17 8da12615 903bf4bd3eb2c0 36ac95 000000 0.0007421782357 2.54791875
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#17 8d4b190a 682de4acf8c177 5b8f55 000000 0.0005142348236 2.81227225
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#sf says:
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#17 8da12615 903bf4bd3eb2c0 36ac95 000000 0.003357535461 00.1817445
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#17 8d4b190a 682de4acf8c177 5b8f55 000000 0.002822938375 000.446215
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sf_station = [37.762236,-122.442525, 100]
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mv_station = [37.409348,-122.07732, 100]
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report1_location = [37.737804, -122.485139, 3345]
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report1_sf_tstamp = 0.1817445
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report1_mv_tstamp = 2.54791875
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report2_location = [37.640836, -122.260218, 2484]
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report2_sf_tstamp = 0.446215
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report2_mv_tstamp = 2.81227225
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report1_tof_sf = numpy.linalg.norm(numpy.array(mlat.llh2ecef(sf_station))-numpy.array(mlat.llh2ecef(report1_location))) / mlat.c
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report1_tof_mv = numpy.linalg.norm(numpy.array(mlat.llh2ecef(mv_station))-numpy.array(mlat.llh2ecef(report1_location))) / mlat.c
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report1_sf_tstamp_abs = report1_sf_tstamp - report1_tof_sf
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report1_mv_tstamp_abs = report1_mv_tstamp - report1_tof_mv
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report2_tof_sf = numpy.linalg.norm(numpy.array(mlat.llh2ecef(sf_station))-numpy.array(mlat.llh2ecef(report2_location))) / mlat.c
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report2_tof_mv = numpy.linalg.norm(numpy.array(mlat.llh2ecef(mv_station))-numpy.array(mlat.llh2ecef(report2_location))) / mlat.c
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report2_sf_tstamp_abs = report2_sf_tstamp - report2_tof_sf
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report2_mv_tstamp_abs = report2_mv_tstamp - report2_tof_mv
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dt1 = report1_sf_tstamp_abs - report1_mv_tstamp_abs
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dt2 = report2_sf_tstamp_abs - report2_mv_tstamp_abs
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error = abs((dt1-dt2) * mlat.c)
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print error
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Executable
+204
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#!/usr/bin/env python
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# Copyright 2010 Nick Foster
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#
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# This file is part of gr-air-modes
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#
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# gr-air-modes is free software; you can redistribute it and/or modify
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# it under the terms of the GNU General Public License as published by
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# the Free Software Foundation; either version 3, or (at your option)
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# any later version.
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#
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# gr-air-modes is distributed in the hope that it will be useful,
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# but WITHOUT ANY WARRANTY; without even the implied warranty of
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# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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# GNU General Public License for more details.
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#
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# You should have received a copy of the GNU General Public License
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# along with gr-air-modes; see the file COPYING. If not, write to
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# the Free Software Foundation, Inc., 51 Franklin Street,
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# Boston, MA 02110-1301, USA.
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#
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my_position = [37.76225, -122.44254]
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#my_position = [37.409066,-122.077836]
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#my_position = None
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from gnuradio import gr, gru, optfir, eng_notation, blks2
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from gnuradio import uhd
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from gnuradio.eng_option import eng_option
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from optparse import OptionParser
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import time, os, sys, threading
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from string import split, join
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import air_modes
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import gnuradio.gr.gr_threading as _threading
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import csv
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class top_block_runner(_threading.Thread):
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def __init__(self, tb):
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_threading.Thread.__init__(self)
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self.setDaemon(1)
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self.tb = tb
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self.done = False
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self.start()
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def run(self):
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self.tb.run()
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self.done = True
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class adsb_rx_block (gr.top_block):
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def __init__(self, options, args, queue):
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gr.top_block.__init__(self)
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self.options = options
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self.args = args
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rate = int(options.rate)
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if options.filename is None:
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self.u = uhd.single_usrp_source("", uhd.io_type_t.COMPLEX_FLOAT32, 1)
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time_spec = uhd.time_spec(0.0)
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self.u.set_time_now(time_spec)
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#if(options.rx_subdev_spec is None):
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# options.rx_subdev_spec = ""
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#self.u.set_subdev_spec(options.rx_subdev_spec)
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if not options.antenna is None:
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self.u.set_antenna(options.antenna)
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self.u.set_samp_rate(rate)
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rate = int(self.u.get_samp_rate()) #retrieve actual
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if options.gain is None: #set to halfway
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g = self.u.get_gain_range()
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options.gain = (g.start()+g.stop()) / 2.0
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if not(self.tune(options.freq)):
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print "Failed to set initial frequency"
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print "Setting gain to %i" % (options.gain,)
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self.u.set_gain(options.gain)
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print "Gain is %i" % (self.u.get_gain(),)
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else:
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self.u = gr.file_source(gr.sizeof_gr_complex, options.filename)
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print "Rate is %i" % (rate,)
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pass_all = 0
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if options.output_all :
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pass_all = 1
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self.demod = gr.complex_to_mag()
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self.avg = gr.moving_average_ff(100, 1.0/100, 400)
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#the DBSRX especially tends to be spur-prone; the LPF keeps out the
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#spur multiple that shows up at 2MHz
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self.lpfiltcoeffs = gr.firdes.low_pass(1, rate, 1.8e6, 100e3)
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self.lpfilter = gr.fir_filter_ccf(1, self.lpfiltcoeffs)
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self.preamble = air_modes.modes_preamble(rate, options.threshold)
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#self.framer = air_modes.modes_framer(rate)
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self.slicer = air_modes.modes_slicer(rate, queue)
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self.connect(self.u, self.lpfilter, self.demod)
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self.connect(self.demod, self.avg)
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self.connect(self.demod, (self.preamble, 0))
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self.connect(self.avg, (self.preamble, 1))
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self.connect((self.preamble, 0), (self.slicer, 0))
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def tune(self, freq):
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result = self.u.set_center_freq(freq, 0)
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return result
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def printraw(msg):
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print msg
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if __name__ == '__main__':
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usage = "%prog: [options] output filename"
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parser = OptionParser(option_class=eng_option, usage=usage)
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parser.add_option("-R", "--rx-subdev-spec", type="string",
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help="select USRP Rx side A or B", metavar="SUBDEV")
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parser.add_option("-A", "--antenna", type="string",
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help="select which antenna to use on daughterboard")
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parser.add_option("-f", "--freq", type="eng_float", default=1090e6,
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help="set receive frequency in Hz [default=%default]", metavar="FREQ")
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parser.add_option("-g", "--gain", type="int", default=None,
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help="set RF gain", metavar="dB")
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parser.add_option("-r", "--rate", type="eng_float", default=4000000,
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help="set ADC sample rate [default=%default]")
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parser.add_option("-T", "--threshold", type="eng_float", default=3.0,
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help="set pulse detection threshold above noise in dB [default=%default]")
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parser.add_option("-a","--output-all", action="store_true", default=False,
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help="output all frames")
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parser.add_option("-F","--filename", type="string", default=None,
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help="read data from file instead of USRP")
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parser.add_option("-K","--kml", type="string", default=None,
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help="filename for Google Earth KML output")
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parser.add_option("-P","--sbs1", action="store_true", default=False,
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help="open an SBS-1-compatible server on port 30003")
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parser.add_option("-w","--raw", action="store_true", default=False,
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help="open a server outputting raw timestamped data on port 9988")
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parser.add_option("-n","--no-print", action="store_true", default=False,
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help="disable printing decoded packets to stdout")
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parser.add_option("-l","--location", type="string", default=None,
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help="GPS coordinates of receiving station in format xx.xxxxx,xx.xxxxx")
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(options, args) = parser.parse_args()
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if options.location is not None:
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reader = csv.reader([options.location], quoting=csv.QUOTE_NONNUMERIC)
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my_position = reader.next()
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queue = gr.msg_queue()
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outputs = [] #registry of plugin output functions
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updates = [] #registry of plugin update functions
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if options.kml is not None:
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sqlport = air_modes.modes_output_sql(my_position, 'adsb.db') #create a SQL parser to push stuff into SQLite
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outputs.append(sqlport.insert)
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#also we spawn a thread to run every 30 seconds (or whatever) to generate KML
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kmlgen = modes_kml('adsb.db', options.kml, my_position) #create a KML generating thread which reads the database
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if options.sbs1 is True:
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sbs1port = air_modes.modes_output_sbs1(my_position)
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outputs.append(sbs1port.output)
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updates.append(sbs1port.add_pending_conns)
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if options.no_print is not True:
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outputs.append(air_modes.modes_output_print(my_position).parse)
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if options.raw is True:
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rawport = air_modes.modes_raw_server()
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outputs.append(rawport.output)
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outputs.append(printraw)
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updates.append(rawport.add_pending_conns)
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fg = adsb_rx_block(options, args, queue)
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runner = top_block_runner(fg)
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while 1:
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try:
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#the update registry is really for the SBS1 and raw server plugins -- we're looking for new TCP connections.
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||||
#i think we have to do this here rather than in the output handler because otherwise connections will stack up
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||||
#until the next output arrives
|
||||
for update in updates:
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||||
update()
|
||||
|
||||
#main message handler
|
||||
if queue.empty_p() == 0 :
|
||||
while queue.empty_p() == 0 :
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||||
msg = queue.delete_head() #blocking read
|
||||
|
||||
for out in outputs:
|
||||
out(msg.to_string())
|
||||
|
||||
elif runner.done:
|
||||
raise KeyboardInterrupt
|
||||
else:
|
||||
time.sleep(0.1)
|
||||
|
||||
except KeyboardInterrupt:
|
||||
fg.stop()
|
||||
runner = None
|
||||
if options.kml is not None:
|
||||
kmlgen.done = True
|
||||
break
|
||||
Reference in New Issue
Block a user