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-rwxr-xr-xdpd/main.py81
1 files changed, 59 insertions, 22 deletions
diff --git a/dpd/main.py b/dpd/main.py
index cfd8126..5e67c90 100755
--- a/dpd/main.py
+++ b/dpd/main.py
@@ -12,10 +12,15 @@ predistortion module of ODR-DabMod."""
import datetime
import os
+import time
+
+import matplotlib
+matplotlib.use('GTKAgg')
import logging
+
dt = datetime.datetime.now().isoformat()
-logging_path = "/tmp/dpd_{}".format(dt).replace(".","_").replace(":","-")
+logging_path = "/tmp/dpd_{}".format(dt).replace(".", "_").replace(":", "-")
os.makedirs(logging_path)
logging.basicConfig(format='%(asctime)s - %(module)s - %(levelname)s - %(message)s',
datefmt='%Y-%m-%d %H:%M:%S',
@@ -33,27 +38,33 @@ console.setFormatter(formatter)
# add the handler to the root logger
logging.getLogger('').addHandler(console)
+import numpy as np
import traceback
import src.Measure as Measure
import src.Model as Model
import src.Adapt as Adapt
import src.Agc as Agc
+import src.TX_Agc as TX_Agc
+import src.Symbol_align
+import src.const
+import src.MER
import argparse
-parser = argparse.ArgumentParser(description="DPD Computation Engine for ODR-DabMod")
+parser = argparse.ArgumentParser(
+ description="DPD Computation Engine for ODR-DabMod")
parser.add_argument('--port', default='50055',
- help='port of DPD server to connect to (default: 50055)',
- required=False)
+ help='port of DPD server to connect to (default: 50055)',
+ required=False)
parser.add_argument('--rc-port', default='9400',
- help='port of ODR-DabMod ZMQ Remote Control to connect to (default: 9400)',
- required=False)
+ help='port of ODR-DabMod ZMQ Remote Control to connect to (default: 9400)',
+ required=False)
parser.add_argument('--samplerate', default='8192000',
- help='Sample rate',
- required=False)
+ help='Sample rate',
+ required=False)
parser.add_argument('--coefs', default='poly.coef',
- help='File with DPD coefficients, which will be read by ODR-DabMod',
- required=False)
-parser.add_argument('--txgain', default=65,
+ help='File with DPD coefficients, which will be read by ODR-DabMod',
+ required=False)
+parser.add_argument('--txgain', default=71,
help='TX Gain',
required=False,
type=int)
@@ -61,47 +72,62 @@ parser.add_argument('--rxgain', default=30,
help='TX Gain',
required=False,
type=int)
-parser.add_argument('--samps', default='20480',
- help='Number of samples to request from ODR-DabMod',
- required=False)
+parser.add_argument('--digital_gain', default=1,
+ help='Digital Gain',
+ required=False,
+ type=float)
+parser.add_argument('--samps', default='81920',
+ help='Number of samples to request from ODR-DabMod',
+ required=False)
parser.add_argument('-i', '--iterations', default='1',
- help='Number of iterations to run',
- required=False)
+ help='Number of iterations to run',
+ required=False)
parser.add_argument('-l', '--load-poly',
- help='Load existing polynomial',
- action="store_true")
+ help='Load existing polynomial',
+ action="store_true")
cli_args = parser.parse_args()
port = int(cli_args.port)
port_rc = int(cli_args.rc_port)
coef_path = cli_args.coefs
+digital_gain = cli_args.digital_gain
txgain = cli_args.txgain
rxgain = cli_args.rxgain
num_req = int(cli_args.samps)
samplerate = int(cli_args.samplerate)
num_iter = int(cli_args.iterations)
+SA = src.Symbol_align.Symbol_align(samplerate)
+MER = src.MER.MER(samplerate)
+c = src.const.const(samplerate)
+
meas = Measure.Measure(samplerate, port, num_req)
adapt = Adapt.Adapt(port_rc, coef_path)
coefs_am, coefs_pm = adapt.get_coefs()
if cli_args.load_poly:
- model = Model.Model(coefs_am, coefs_pm)
+ model = Model.Model(c, SA, MER, coefs_am, coefs_pm, plot=True)
else:
- model = Model.Model([1, 0, 0, 0, 0], [0, 0, 0, 0, 0])
+ model = Model.Model(c, SA, MER, [1.0, 0, 0, 0, 0], [0, 0, 0, 0, 0], plot=True)
+adapt.set_coefs(model.coefs_am, model.coefs_pm)
+adapt.set_digital_gain(digital_gain)
adapt.set_txgain(txgain)
adapt.set_rxgain(rxgain)
tx_gain = adapt.get_txgain()
rx_gain = adapt.get_rxgain()
+digital_gain = adapt.get_digital_gain()
dpd_coefs_am, dpd_coefs_pm = adapt.get_coefs()
logging.info(
- "TX gain {}, RX gain {}, dpd_coefs_am {}, dpd_coefs_pm {}".format(
- tx_gain, rx_gain, dpd_coefs_am, dpd_coefs_pm
+ "TX gain {}, RX gain {}, dpd_coefs_am {},"
+ " dpd_coefs_pm {}, digital_gain {}".format(
+ tx_gain, rx_gain, dpd_coefs_am, dpd_coefs_pm, digital_gain
)
)
+tx_agc = TX_Agc.TX_Agc(adapt)
+
# Automatic Gain Control
agc = Agc.Agc(meas, adapt)
agc.run()
@@ -110,8 +136,19 @@ for i in range(num_iter):
try:
txframe_aligned, tx_ts, rxframe_aligned, rx_ts, rx_median = meas.get_samples()
logging.debug("tx_ts {}, rx_ts {}".format(tx_ts, rx_ts))
+ assert tx_ts - rx_ts < 1e-5, "Time stamps do not match."
+
+ if tx_agc.adapt_if_necessary(txframe_aligned):
+ continue
+
coefs_am, coefs_pm = model.get_next_coefs(txframe_aligned, rxframe_aligned)
adapt.set_coefs(coefs_am, coefs_pm)
+
+ off = SA.calc_offset(txframe_aligned)
+ tx_mer = MER.calc_mer(txframe_aligned[off:off + c.T_U])
+ rx_mer = MER.calc_mer(rxframe_aligned[off:off + c.T_U], debug=True)
+ logging.info("MER with lag in it. {}: TX {}, RX {}".
+ format(i, tx_mer, rx_mer))
except Exception as e:
logging.warning("Iteration {} failed.".format(i))
logging.warning(traceback.format_exc())