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#!/usr/bin/env python
# -*- coding: utf-8 -*-
#
# DPD Calculation Engine main file.
#
# http://www.opendigitalradio.org
# Licence: The MIT License, see notice at the end of this file
"""This Python script is the main file for ODR-DabMod's DPD Computation Engine.
This engine calculates and updates the parameter of the digital
predistortion module of ODR-DabMod."""
import datetime
import os
import logging
dt = datetime.datetime.now().isoformat()
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',
filename='{}/dpd.log'.format(logging_path),
filemode='w',
level=logging.DEBUG)
import src.Measure as Measure
import src.Model as Model
import src.Adapt as Adapt
import argparse
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)
parser.add_argument('--rc-port', default='9400',
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)
parser.add_argument('--coefs', default='poly.coef',
help='File with DPD coefficients, which will be read by ODR-DabMod',
required=False)
parser.add_argument('--samps', default='10240',
help='Number of samples to request from ODR-DabMod',
required=False)
cli_args = parser.parse_args()
port = int(cli_args.port)
port_rc = int(cli_args.rc_port)
coef_path = cli_args.coefs
num_req = int(cli_args.samps)
samplerate = int(cli_args.samplerate)
meas = Measure.Measure(samplerate, port, num_req)
adapt = Adapt.Adapt(port_rc, coef_path)
coefs_am, coefs_pm = adapt.get_coefs()
#model = Model.Model(coefs)
model = Model.Model([1, 0, 0, 0, 0], [0, 0, 0, 0, 0])
adapt.set_txgain(70)
adapt.set_rxgain(30)
tx_gain = adapt.get_txgain()
rx_gain = adapt.get_rxgain()
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
)
)
for i in range(1):
txframe_aligned, tx_ts, rxframe_aligned, rx_ts = meas.get_samples()
logging.debug("tx_ts {}, rx_ts {}".format(tx_ts, rx_ts))
coefs_am, coefs_pm = model.get_next_coefs(txframe_aligned, rxframe_aligned)
adapt.set_coefs(coefs_am, coefs_pm)
# The MIT License (MIT)
#
# Copyright (c) 2017 Andreas Steger, Matthias P. Braendli
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rights
# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
# copies of the Software, and to permit persons to whom the Software is
# furnished to do so, subject to the following conditions:
#
# The above copyright notice and this permission notice shall be included in all
# copies or substantial portions of the Software.
#
# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
# SOFTWARE.
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