# -*- coding: utf-8 -*- # # Automatic Gain Control # # http://www.opendigitalradio.org # Licence: The MIT License, see notice at the end of this file import datetime import os import logging import time logging_path = os.path.dirname(logging.getLoggerClass().root.handlers[0].baseFilename) import numpy as np import matplotlib matplotlib.use('agg') import matplotlib.pyplot as plt import src.Adapt as Adapt import src.Measure as Measure #TODO fix for float tx_gain class TX_Agc: def __init__(self, adapt, max_txgain=70, tx_max_target=0.85, tx_max_threshold_max=0.95, tx_max_threshold_min=0.65): """ In order to avoid digital clipping, this class increases the TX gain and reduces the digital gain. Digital clipping happens when the digital analog converter receives values greater than it's maximal output. This class solves that problem by adapting the TX gain in a way that the peaks of the TX signal are in a specified range. The TX gain is adapted accordingly. :param adapt: Instance of Adapt Class to update txgain and coefficients :param max_txgain: limit for TX gain :param tx_max_threshold_max: if the maximum of TX is larger than this value, then the digital gain is reduced :param tx_max_threshold_min: if the maximum of TX is smaller than this value, then the digital gain is increased :param tx_max_target: The digital gain is reduced in a way that the maximal TX value is expected to be lower than this value. """ assert isinstance(adapt, Adapt.Adapt) self.adapt = adapt self.max_txgain = max_txgain self.txgain = self.max_txgain assert tx_max_threshold_max > tx_max_target,\ "The tolerated tx_max has to be larger then the goal tx_max" self.tx_max_threshold_tolerate_max = tx_max_threshold_max self.tx_max_threshold_tolerate_min = tx_max_threshold_min self.tx_max_target = tx_max_target def adapt_if_necessary(self, tx): tx_max = np.max(np.abs(tx)) if tx_max > self.tx_max_threshold_tolerate_max or\ tx_max < self.tx_max_threshold_tolerate_min: delta_db = \ np.floor(20 * np.log10(self.tx_max_target / tx_max)).astype(int) new_txgain = self.adapt.get_txgain() - delta_db assert new_txgain < self.max_txgain,\ "TX_Agc failed. New TX gain of {} is too large.".format( new_txgain ) self.adapt.set_txgain(new_txgain) txgain = self.adapt.get_txgain() digital_gain_factor = 10 ** (delta_db / 20.) digital_gain = self.adapt.get_digital_gain() * digital_gain_factor self.adapt.set_digital_gain(digital_gain) logging.info( "digital_gain = {}, txgain_new = {}, " \ "delta_db = {}, tx_max {}, " \ "digital_gain_factor = {}". format(digital_gain, txgain, delta_db, tx_max, digital_gain_factor)) time.sleep(1) return True return False # The MIT License (MIT) # # Copyright (c) 2017 Andreas Steger # # 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.