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authorandreas128 <Andreas>2017-09-27 12:46:40 +0200
committerandreas128 <Andreas>2017-09-27 12:46:40 +0200
commit9434dcbc564526232667d7c547ee40bf72d631b4 (patch)
treec6587729d5bb1a7a866be5b0bf33f593fbfc4814 /dpd/src
parent1fff3ceab051fc795b0b09f451c2f8c4ffa59fcf (diff)
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Add n_bins, n_per_bin, n_meas parameter; Cleanup import
Diffstat (limited to 'dpd/src')
-rw-r--r--dpd/src/Const.py84
1 files changed, 84 insertions, 0 deletions
diff --git a/dpd/src/Const.py b/dpd/src/Const.py
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+# DAB Frame constants
+# Sources:
+# - etsi_EN_300_401_v010401p p145
+# - Measured with USRP B200
+
+import numpy as np
+
+class Const:
+ def __init__(self, sample_rate, target_median, n_bins, n_per_bin, n_meas):
+ self.sample_rate = sample_rate
+ self.n_meas = n_meas
+
+ # Time domain
+ self.T_F = sample_rate / 2048000 * 196608 # Transmission frame duration
+ self.T_NULL = sample_rate / 2048000 * 2656 # Null symbol duration
+ self.T_S = sample_rate / 2048000 * 2552 # Duration of OFDM symbols of indices l = 1, 2, 3,... L;
+ self.T_U = sample_rate / 2048000 * 2048 # Inverse of carrier spacing
+ self.T_C = sample_rate / 2048000 * 504 # Duration of cyclic prefix
+
+ # Frequency Domain
+ # example: np.delete(fft[3328:4865], 768)
+ self.FFT_delete = 768
+ self.FFT_delta = 1536 # Number of carrier frequencies
+ if sample_rate == 2048000:
+ self.FFT_start = 256
+ self.FFT_end = 1793
+ elif sample_rate == 8192000:
+ self.FFT_start = 3328
+ self.FFT_end = 4865
+ else:
+ raise RuntimeError("Sample Rate '{}' not supported".format(
+ sample_rate
+ ))
+
+ # Calculate sample offset from phase rotation
+ # time per sample = 1 / sample_rate
+ # frequency per bin = 1kHz
+ # phase difference per sample offset = delta_t * 2 * pi * delta_freq
+ self.phase_offset_per_sample = 1. / sample_rate * 2 * np.pi * 1000
+
+ # Constants for ExtractStatistic
+ self.ES_plot = False
+ self.ES_start = 0.0
+ self.ES_end = 1.0
+ self.ES_n_bins = n_bins
+ self.ES_n_per_bin = n_per_bin
+
+ # Constants for TX_Agc
+ self.TAGC_max_txgain = 89
+ self.TAGC_tx_median_target = target_median
+ self.TAGC_tx_median_max = self.TAGC_tx_median_target*1.4
+ self.TAGC_tx_median_min = self.TAGC_tx_median_target/1.4
+
+
+ self.RAGC_min_rxgain = 25
+ self.RAGC_rx_median_target = self.TAGC_tx_median_target
+
+ # Constants for Model
+ self.MDL_plot = False
+
+ # Constants for MER
+ self.MER_plot = False
+
+ # Constants for Model_PM
+ self.MPM_tx_min = 0.1
+
+ # Constants for Measure_Shoulder
+ self.MS_enable = False
+ self.MS_plot = False
+ assert sample_rate==8192000
+ meas_offset = 976 # Offset from center frequency to measure shoulder [kHz]
+ meas_width = 100 # Size of frequency delta to measure shoulder [kHz]
+ shoulder_offset_edge = np.abs(meas_offset - self.FFT_delta)
+ self.MS_shoulder_left_start = self.FFT_start - shoulder_offset_edge - meas_width / 2
+ self.MS_shoulder_left_end = self.FFT_start - shoulder_offset_edge + meas_width / 2
+ self.MS_shoulder_right_start = self.FFT_end + shoulder_offset_edge - meas_width / 2
+ self.MS_shoulder_right_end = self.FFT_end + shoulder_offset_edge + meas_width / 2
+ self.MS_peak_start = self.FFT_start + 100 # Ignore region near edges
+ self.MS_peak_end = self.FFT_end - 100
+
+ self.MS_FFT_size = 8192
+ self.MS_averaging_size = 4 * self.MS_FFT_size
+ self.MS_n_averaging = 40
+ self.MS_n_proc = 4