def zoomedscan(config, args):
if 'scans' in config:
for scanlevel in config['scans']:
if scanlevel['scanfromstations']:
stations = loadJSON(scanlevel['stationsfilename'])
confirmed_station = []
for station in stations['stations']:
if 'name' in station:
confirmed_station.append(station)
for station in confirmed_station:
freq_left = commons.hz2Float(station['freq_center']) - commons.hz2Float(scanlevel['windows'] / 2)
executeRTLPower(args, config, scanlevel, freq_left)
def zoomedscan(config, args):
if 'scans' in config:
for scanlevel in config['scans']:
if scanlevel['scanfromstations']:
stations = loadJSON(scanlevel['stationsfilename'])
confirmed_station = []
for station in stations['stations']:
if 'name' in station:
confirmed_station.append(station)
for station in confirmed_station:
freq_left = commons.hz2Float(
station['freq_center']) - commons.hz2Float(
scanlevel['windows'] / 2)
executeRTLPower(args, config, scanlevel, freq_left)
def generateSpectres(config, args):
if 'scans' in config:
for scanlevel in config['scans']:
range = np.linspace(scanlevel['freq_start'],scanlevel['freq_end'], num=scanlevel['nbstep'], endpoint=False)
for left_freq in range:
executeSpectre(args, config, scanlevel, left_freq)
# For scanlevel with stationsfilename
if 'stationsfilename' in scanlevel:
stations = loadJSON(scanlevel['stationsfilename'])
confirmed_station = []
for station in stations['stations']:
if 'name' in station:
confirmed_station.append(station)
for station in confirmed_station:
freq_left = commons.hz2Float(station['freq_center']) - commons.hz2Float(scanlevel['windows'] / 2)
executeSpectre(args, config, scanlevel, freq_left)
def generateSpectres(config, args):
if 'scans' in config:
for scanlevel in config['scans']:
range = np.linspace(scanlevel['freq_start'],
scanlevel['freq_end'],
num=scanlevel['nbstep'],
endpoint=False)
for left_freq in range:
executeSpectre(args, config, scanlevel, left_freq)
# For scanlevel with stationsfilename
if 'stationsfilename' in scanlevel:
stations = loadJSON(scanlevel['stationsfilename'])
confirmed_station = []
for station in stations['stations']:
if 'name' in station:
confirmed_station.append(station)
for station in confirmed_station:
freq_left = commons.hz2Float(
station['freq_center']) - commons.hz2Float(
scanlevel['windows'] / 2)
executeSpectre(args, config, scanlevel, freq_left)
def searchStation(scanlevel, stations, summaries, samples, limitmin, limitmax):
#search_limit = sorted(limit_list)
freqstep = summaries['freq']['step']
stations['stations'] = sorted(
stations['stations'],
key=lambda x: commons.hz2Float(x['freq_center']) - commons.hz2Float(
(x['bw'])))
bwmin = commons.hz2Float(scanlevel['minscanbw'])
bwmax = commons.hz2Float(scanlevel['maxscanbw'])
limits = np.linspace(limitmin, limitmax, 5)
for limit in limits:
# Search peak upper than limit
startup = -1
foundlower = False
for idx in np.arange(len(samples)):
powerdb = samples[idx]
isup = powerdb > limit
# Search first lower limit signal
if not foundlower:
if not isup:
foundlower = True
else:
continue
# Find first upper
if startup == -1:
if isup:
startup = idx
maxidx = startup
maxdb = powerdb
else:
# If upper, check if db is upper
if isup:
if powerdb > maxdb:
maxdb = powerdb
maxidx = idx
# If lower, calc bandwidth and max db
else:
endup = idx - 1
bw_nbstep = endup - startup
bw = bw_nbstep * freqstep
freqidx = startup + int(bw_nbstep / 2)
# TODO: compare with freqidx, set % error ?
freq_center = summaries['freq']['start'] + (maxidx *
freqstep)
freq_center = summaries['freq']['start'] + (freqidx *
freqstep)
freq_left = freq_center - bw
deltadb = (maxdb - limit)
if bwmin <= bw <= bwmax and deltadb > scanlevel[
'minrelativedb']:
print "Freq:%s / Bw:%s / Abs: %s dB / From ground:%.2f dB" % (
commons.float2Hz(freq_center),
commons.float2Hz(bw), maxdb, maxdb - limitmax)
found = False
for station in stations['stations']:
if freq_center >= commons.hz2Float(
station['freq_center']
) - bw and freq_center <= commons.hz2Float(
station['freq_center']) + bw:
found = True
break
if not found:
stations['stations'].append({
'freq_center':
commons.float2Hz(freq_center),
'bw':
commons.float2Hz(bw),
'powerdb':
float("%.2f" % maxdb),
'relativedb':
float("%.2f" % (maxdb - limitmin))
})
stations['stations'] = sorted(
stations['stations'],
key=lambda x: commons.hz2Float(x[
'freq_center']) - commons.hz2Float(x['bw']
))
startup = -1
def searchStation(scanlevel, stations, summaries, samples, limitmin, limitmax):
#search_limit = sorted(limit_list)
freqstep = summaries['freq']['step']
stations['stations'] = sorted(stations['stations'], key=lambda x: commons.hz2Float(x['freq_center']) - commons.hz2Float((x['bw'])))
bwmin = commons.hz2Float(scanlevel['minscanbw'])
bwmax = commons.hz2Float(scanlevel['maxscanbw'])
limits = np.linspace(limitmin, limitmax, 5)
for limit in limits:
# Search peak upper than limit
startup = -1
foundlower = False
for idx in np.arange(len(samples)):
powerdb = samples[idx]
isup = powerdb > limit
# Search first lower limit signal
if not foundlower:
if not isup:
foundlower = True
else:
continue
# Find first upper
if startup == -1:
if isup:
startup = idx
maxidx = startup
maxdb = powerdb
else:
# If upper, check if db is upper
if isup:
if powerdb > maxdb:
maxdb = powerdb
maxidx = idx
# If lower, calc bandwidth and max db
else:
endup = idx - 1
bw_nbstep = endup - startup
bw = bw_nbstep * freqstep
freqidx = startup + int(bw_nbstep / 2)
# TODO: compare with freqidx, set % error ?
freq_center = summaries['freq']['start'] + (maxidx * freqstep)
freq_center = summaries['freq']['start'] + (freqidx * freqstep)
freq_left = freq_center - bw
deltadb = (maxdb - limit)
if bwmin <= bw <= bwmax and deltadb > scanlevel['minrelativedb']:
print "Freq:%s / Bw:%s / Abs: %s dB / From ground:%.2f dB" % (commons.float2Hz(freq_center), commons.float2Hz(bw), maxdb, maxdb - limitmax)
found = False
for station in stations['stations']:
if freq_center >= commons.hz2Float(station['freq_center']) - bw and freq_center <= commons.hz2Float(station['freq_center']) + bw:
found = True
break
if not found:
stations['stations'].append(
{'freq_center': commons.float2Hz(freq_center),
'bw': commons.float2Hz(bw),
'powerdb': float("%.2f" % maxdb),
'relativedb': float("%.2f" % (maxdb - limitmin))
}
)
stations['stations'] = sorted(stations['stations'], key=lambda x: commons.hz2Float(x['freq_center']) - commons.hz2Float(x['bw']))
startup = -1
