diff options
Diffstat (limited to 'dpd')
| -rw-r--r-- | dpd/src/const.py | 82 |
1 files changed, 0 insertions, 82 deletions
diff --git a/dpd/src/const.py b/dpd/src/const.py deleted file mode 100644 index d95d0bf..0000000 --- a/dpd/src/const.py +++ /dev/null @@ -1,82 +0,0 @@ -# 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): - self.sample_rate = sample_rate - - # 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 = True - self.ES_start = 0.0 - self.ES_end = 1.0 - self.ES_n_bins = 64 - self.ES_n_per_bin = 128 - - # 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 - - # Constants for Agc - self.RAGC_min_rxgain = 25 - self.RAGC_rx_median_target = self.TAGC_tx_median_target - - # Constants for Model - self.MDL_plot = True - - # Constants for MER - self.MER_plot = True - - # Constants for Model_PM - self.MPM_tx_min = 0.1 - - # Constants for Measure_Shoulder - self.MS_plot = True - 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 |