correlator.set_accumulation_len(args.acc_len)
correlator.add_cable_length_calibrations(
'/home/jgowans/workspace/directionFinder_backend/config/cable_length_calibration_actual_array.json'
)
correlator.add_frequency_bin_calibrations(
'/home/jgowans/workspace/directionFinder_backend/config/frequency_domain_calibration_through_chain.json'
)
df = DirectionFinder(correlator, array, args.f_start,
logger.getChild('df'))
if args.impulse == True:
df.set_time() # go into time mode
# 100 impulse filter len = 0.5 us
correlator.set_impulse_filter_len(100)
correlator.set_impulse_setpoint(args.impulse_setpoint)
correlator.re_sync()
time.sleep(0.1)
correlator.impulse_arm()
while True:
if args.impulse == True:
if df.fetch_impulse() == True:
correlator.save_time_domain_snapshots(df_raw_dir)
# not necessary to apply cal as it's done in the correlation routine
df.df_impulse(df_raw_dir)
else:
df.fetch_frequency_crosses()
correlator.save_frequency_correlations(df_raw_dir)
correlator.apply_frequency_domain_calibrations()
df.df_strongest_signal(args.f_start, args.f_stop, df_raw_dir)
os.mkdir(df_raw_dir)
array = AntennaArray.mk_from_config(args.array_geometry_file)
correlator = Correlator(logger = logger.getChild('correlator'))
correlator.set_accumulation_len(args.acc_len)
correlator.add_cable_length_calibrations('/home/jgowans/workspace/directionFinder_backend/config/cable_length_calibration_actual_array.json')
correlator.add_frequency_bin_calibrations('/home/jgowans/workspace/directionFinder_backend/config/frequency_domain_calibration_through_chain.json')
df = DirectionFinder(correlator, array, args.f_start, logger.getChild('df'))
if args.impulse == True:
df.set_time() # go into time mode
# 100 impulse filter len = 0.5 us
correlator.set_impulse_filter_len(100)
correlator.set_impulse_setpoint(args.impulse_setpoint)
correlator.re_sync()
time.sleep(0.1)
correlator.impulse_arm()
while True:
if args.impulse == True:
if df.fetch_impulse() == True:
correlator.save_time_domain_snapshots(df_raw_dir)
# not necessary to apply cal as it's done in the correlation routine
df.df_impulse(df_raw_dir)
else:
df.fetch_frequency_crosses()
correlator.save_frequency_correlations(df_raw_dir)
correlator.apply_frequency_domain_calibrations()
df.df_strongest_signal(args.f_start, args.f_stop, df_raw_dir)
