diff options
Diffstat (limited to 'python/dpd/RX_Agc.py')
| -rw-r--r-- | python/dpd/RX_Agc.py | 39 |
1 files changed, 26 insertions, 13 deletions
diff --git a/python/dpd/RX_Agc.py b/python/dpd/RX_Agc.py index 48ef7f3..bb940be 100644 --- a/python/dpd/RX_Agc.py +++ b/python/dpd/RX_Agc.py @@ -19,19 +19,19 @@ import dpd.Adapt as Adapt import dpd.Measure as Measure class Agc: - """The goal of the automatic gain control is to set the - RX gain to a value at which all received amplitudes can - be detected. This means that the maximum possible amplitude + """The goal of the automatic gain control is to set the + RX gain to a value at which all received amplitudes can + be detected. This means that the maximum possible amplitude should be quantized at the highest possible digital value. - A problem we have to face, is that the estimation of the - maximum amplitude by applying the max() function is very - unstable. This is due to the maximum’s rareness. Therefore - we estimate a far more robust value, such as the median, + A problem we have to face, is that the estimation of the + maximum amplitude by applying the max() function is very + unstable. This is due to the maximum’s rareness. Therefore + we estimate a far more robust value, such as the median, and then approximate the maximum amplitude from it. - Given this, we tune the RX gain in such a way, that the - received signal fulfills our desired property, of having + Given this, we tune the RX gain in such a way, that the + received signal fulfills our desired property, of having all amplitudes properly quantized.""" def __init__(self, measure, adapt, c): @@ -45,10 +45,15 @@ class Agc: self.peak_to_median = 1./c.RAGC_rx_median_target def run(self) -> Tuple[bool, str]: - self.adapt.set_rxgain(self.rxgain) + try: + self.adapt.set_rxgain(self.rxgain) + except ValueError as e: + return (False, "Setting RX gain to {} failed: {}".format(self.rxgain, e)) + time.sleep(0.5) + # Measure - txframe_aligned, tx_ts, rxframe_aligned, rx_ts, rx_median, tx_median = self.measure.get_samples() + txframe, tx_ts, rxframe, rx_ts, rx_median, tx_median = self.measure.get_samples_unaligned(short=False) # Estimate Maximum rx_peak = self.peak_to_median * rx_median @@ -68,11 +73,19 @@ class Agc: w = "Warning: calculated RX Gain={} is higher than maximum={}. RX feedback power should be increased.".format( self.rxgain, self.max_rxgain) logging.warning(w) + try: + # Reset to a low value, as we expect the user to reduce external attenuation + self.adapt.set_rxgain(30) + except ValueError as e: + return (False, "\n".join([measurements, w, "Setting RX gain to {} failed: {}".format(self.rxgain, e)])) return (False, "\n".join([measurements, w])) else: - self.adapt.set_rxgain(self.rxgain) + try: + self.adapt.set_rxgain(self.rxgain) + except ValueError as e: + return (False, "Setting RX gain to {} failed: {}".format(self.rxgain, e)) time.sleep(0.5) - return (True, measurements) + return (True, measurements) def plot_estimates(self): """Plots the estimate of for Max, Median, Mean for different |