diff options
Diffstat (limited to 'dpd/main.py')
-rwxr-xr-x | dpd/main.py | 81 |
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()) |