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author | andreas128 <Andreas> | 2017-09-13 18:30:26 +0200 |
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committer | andreas128 <Andreas> | 2017-09-13 18:30:26 +0200 |
commit | a6ab5661fabc51aa1bdfc48c44bdef4b1f30e095 (patch) | |
tree | 7b814233edb11d0c0aaafdddb288db97db9385c0 /dpd | |
parent | bd5152da189b429496e8f88f60b61f75e7fe3436 (diff) | |
download | dabmod-a6ab5661fabc51aa1bdfc48c44bdef4b1f30e095.tar.gz dabmod-a6ab5661fabc51aa1bdfc48c44bdef4b1f30e095.tar.bz2 dabmod-a6ab5661fabc51aa1bdfc48c44bdef4b1f30e095.zip |
Add phase plot
Diffstat (limited to 'dpd')
-rw-r--r-- | dpd/src/ExtractStatistic.py | 42 |
1 files changed, 40 insertions, 2 deletions
diff --git a/dpd/src/ExtractStatistic.py b/dpd/src/ExtractStatistic.py index 8ae48ac..d2aeee4 100644 --- a/dpd/src/ExtractStatistic.py +++ b/dpd/src/ExtractStatistic.py @@ -51,6 +51,7 @@ class ExtractStatistic: self.tx_values_lists.append([]) self.tx_values = self._tx_value_per_bin() + self.rx_values = [] for i in range(c.ES_n_bins): self.rx_values.append(None) @@ -59,9 +60,12 @@ class ExtractStatistic: def _plot_and_log(self): if logging.getLogger().getEffectiveLevel() == logging.DEBUG and self.plot: + phase_diffs_values_lists = self._phase_diff_list_per_bin() + phase_diffs_values = self._phase_diff_value_per_bin(phase_diffs_values_lists) + dt = datetime.datetime.now().isoformat() fig_path = logging_path + "/" + dt + "_ExtractStatistic.png" - sub_rows = 2 + sub_rows = 3 sub_cols = 1 fig = plt.figure(figsize=(sub_cols * 6, sub_rows / 2. * 6)) i_sub = 0 @@ -84,6 +88,23 @@ class ExtractStatistic: ax.set_xlim(0, 1.1) ax.legend(loc=4) + i_sub += 1 + ax = plt.subplot(sub_rows, sub_cols, i_sub) + ax.plot(self.tx_values, np.rad2deg(phase_diffs_values), + label="Estimated Values", + color="red") + for i, tx_value in enumerate(self.tx_values): + phase_diff = phase_diffs_values_lists[i] + ax.scatter(np.ones(len(phase_diff)) * tx_value, + np.rad2deg(phase_diff), + s=0.1, + color="black") + ax.set_xlabel("TX Amplitude") + ax.set_ylabel("Phase Difference") + ax.set_ylim(-60,60) + ax.set_xlim(0, 1.1) + ax.legend(loc=4) + num = [] for i, tx_value in enumerate(self.tx_values): rx_values = self.rx_values_lists[i] @@ -114,6 +135,21 @@ class ExtractStatistic: tx_values.append(np.mean((start, end))) return tx_values + def _phase_diff_list_per_bin(self): + phase_values_lists = [] + for tx_list, rx_list in zip(self.tx_values_lists, self.rx_values_lists): + phase_diffs = [] + for tx, rx in zip(tx_list, rx_list): + phase_diffs.append(np.angle(rx * tx.conjugate())) + phase_values_lists.append(phase_diffs) + return phase_values_lists + + def _phase_diff_value_per_bin(self, phase_diffs_values_lists): + phase_list = [] + for values in phase_diffs_values_lists: + phase_list.append(np.mean(values)) + return phase_list + def extract(self, tx_dpd, rx): _check_input_extract(tx_dpd, rx) @@ -133,7 +169,9 @@ class ExtractStatistic: n_per_bin = [len(values) for values in self.rx_values_lists] - return np.array(self.tx_values, dtype=np.float32), np.array(self.rx_values, dtype=np.float32), n_per_bin + return np.array(self.tx_values, dtype=np.float32), \ + np.array(self.rx_values, dtype=np.float32), \ + n_per_bin # The MIT License (MIT) # |