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author | andreas128 <Andreas> | 2017-09-14 11:21:10 +0200 |
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committer | andreas128 <Andreas> | 2017-09-14 11:21:10 +0200 |
commit | 0718c0390d9f05ef21ec202be2ce7ea6e2a6a31d (patch) | |
tree | a9762c215a4dc9dfc1c0044b9582617e55224966 /dpd/main.py | |
parent | 426671f4af2a5d1d5d01225194eb66b2edb8c059 (diff) | |
download | dabmod-0718c0390d9f05ef21ec202be2ce7ea6e2a6a31d.tar.gz dabmod-0718c0390d9f05ef21ec202be2ce7ea6e2a6a31d.tar.bz2 dabmod-0718c0390d9f05ef21ec202be2ce7ea6e2a6a31d.zip |
Add Model_PM
Diffstat (limited to 'dpd/main.py')
-rwxr-xr-x | dpd/main.py | 6 |
1 files changed, 5 insertions, 1 deletions
diff --git a/dpd/main.py b/dpd/main.py index 99bcf31..320c291 100755 --- a/dpd/main.py +++ b/dpd/main.py @@ -43,6 +43,7 @@ import traceback import src.Measure as Measure import src.Model as Model import src.Model_AM as Model_AM +import src.Model_PM as Model_PM import src.ExtractStatistic as ExtractStatistic import src.Adapt as Adapt import src.Agc as Agc @@ -115,6 +116,7 @@ else: coefs_am, coefs_pm = [[1.0, 0, 0, 0, 0], [0, 0, 0, 0, 0]] model = Model.Model(c, SA, MER, coefs_am, coefs_pm, plot=True) model_am = Model_AM.Model_AM(c, plot=True) +model_pm = Model_PM.Model_PM(c, plot=True) adapt.set_coefs(model.coefs_am, model.coefs_pm) adapt.set_digital_gain(digital_gain) adapt.set_txgain(txgain) @@ -145,10 +147,11 @@ while i < num_iter: # Measure if state == "measure": txframe_aligned, tx_ts, rxframe_aligned, rx_ts, rx_median = meas.get_samples() - tx, rx, n_per_bin = extStat.extract(txframe_aligned, rxframe_aligned) + tx, rx, phase_diff, n_per_bin = extStat.extract(txframe_aligned, rxframe_aligned) n_use = int(len(n_per_bin) * 0.6) tx = tx[:n_use] rx = rx[:n_use] + phase_diff = phase_diff[:n_use] if all(c.ES_n_per_bin == np.array(n_per_bin)[0:n_use]): state = "model" else: @@ -157,6 +160,7 @@ while i < num_iter: # Model elif state == "model": coefs_am = model_am.get_next_coefs(tx, rx, coefs_am) + coefs_pm = model_pm.get_next_coefs(tx, phase_diff, coefs_pm) del extStat extStat = ExtractStatistic.ExtractStatistic(c, plot=True) state = "adapt" |