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authorMatthias P. Braendli <matthias.braendli@mpb.li>2018-05-09 17:17:45 +0200
committerMatthias P. Braendli <matthias.braendli@mpb.li>2018-05-09 17:17:45 +0200
commit9b2a36a5448ea037c01fc5b6a48babfaebc441c3 (patch)
tree41f0df2307a48500deef303a4d95dfa97fd0dca5 /dpd
parentf6d73ae3ee5f2af8e865bda2e1dbcd6132e7c9c8 (diff)
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DPDCE: add measure only command
Diffstat (limited to 'dpd')
-rwxr-xr-xdpd/main.py36
1 files changed, 31 insertions, 5 deletions
diff --git a/dpd/main.py b/dpd/main.py
index 927834a..f17d7df 100755
--- a/dpd/main.py
+++ b/dpd/main.py
@@ -5,7 +5,6 @@
#
# http://www.opendigitalradio.org
# Licence: The MIT License, see notice at the end of this file
-# noinspection PyBroadException
"""This Python script is the main file for ODR-DabMod's DPD Computation Engine.
This engine calculates and updates the parameter of the digital
@@ -41,7 +40,7 @@ parser.add_argument('--rxgain', default=30,
help='TX Gain, -1 to leave unchanged',
required=False,
type=int)
-parser.add_argument('--digital_gain', default=0.6,
+parser.add_argument('--digital_gain', default=0.01,
help='Digital Gain',
required=False,
type=float)
@@ -67,6 +66,8 @@ parser.add_argument('-r', '--reset', action="store_true",
help='Reset the DPD settings to the defaults.')
parser.add_argument('-s', '--status', action="store_true",
help='Display the currently running DPD settings.')
+parser.add_argument('--measure', action="store_true",
+ help='Only measure metrics once')
cli_args = parser.parse_args()
@@ -87,7 +88,7 @@ plot = cli_args.plot
import logging
# Simple usage scenarios don't need to clutter /tmp
-if not (cli_args.status or cli_args.reset):
+if not (cli_args.status or cli_args.reset or cli_args.measure):
dt = datetime.datetime.now().isoformat()
logging_path = '/tmp/dpd_{}'.format(dt).replace('.', '_').replace(':', '-')
if name:
@@ -183,12 +184,37 @@ if cli_args.reset:
logging.info("DPD Settings were reset to default values.")
sys.exit(0)
-tx_agc = TX_Agc(adapt, c)
-
# Automatic Gain Control
agc = Agc(meas, adapt, c)
agc.run()
+if cli_args.measure:
+ txframe_aligned, tx_ts, rxframe_aligned, rx_ts, rx_median = meas.get_samples()
+
+ print("TX signal median {}".format(np.median(np.abs(txframe_aligned))))
+ print("RX signal median {}".format(rx_median))
+
+ tx, rx, phase_diff, n_per_bin = extStat.extract(txframe_aligned, rxframe_aligned)
+
+ off = SA.calc_offset(txframe_aligned)
+ print("off {}".format(off))
+ tx_mer = MER.calc_mer(txframe_aligned[off:off + c.T_U], debug_name='TX')
+ print("tx_mer {}".format(tx_mer))
+ rx_mer = MER.calc_mer(rxframe_aligned[off:off + c.T_U], debug_name='RX')
+ print("rx_mer {}".format(rx_mer))
+
+ mse = np.mean(np.abs((txframe_aligned - rxframe_aligned) ** 2))
+ print("mse {}".format(mse))
+
+ digital_gain = adapt.get_digital_gain()
+ print("digital_gain {}".format(digital_gain))
+
+ #rx_shoulder_tuple = MS.average_shoulders(rxframe_aligned)
+ #tx_shoulder_tuple = MS.average_shoulders(txframe_aligned)
+ sys.exit(0)
+
+tx_agc = TX_Agc(adapt, c)
+
state = 'report'
i = 0
lr = None