Dear GNU Radio Community, I want to extract the consistent and stable phase difference in degrees between the two signals, each of 30 Hz, from a demodulated signal from a VOR Signal RX through USRP N210. I am applying a Python block for this purpose and checking the Phase difference in degrees by giving its output to QT GUI Number sink, but I am not getting desired results, the values are continuously fluctuating, instead of the time domain, I am getting the accurate and stable two 30 Hz waves.
Code using: import numpy as np from gnuradio import gr class blk(gr.sync_block): def __init__(self): gr.sync_block.__init__( self, name="Phase Difference via IQ Demodulation", in_sig=[np.complex64, np.complex64], # Two complex input signals out_sig=[np.float32] # Phase difference in degrees ) def work(self, input_items, output_items): # Input complex signals signal1 = input_items[0] signal2 = input_items[1] # Ensure both signals have the same length if len(signal1) != len(signal2): raise ValueError("Input signals must have the same length.") # Demodulate signal1 to get I1 and Q1 I1 = np.real(signal1) # In-phase component of signal1 Q1 = np.imag(signal1) # Quadrature component of signal1 # Demodulate signal2 to get I2 and Q2 I2 = np.real(signal2) # In-phase component of signal2 Q2 = np.imag(signal2) # Quadrature component of signal2 # Calculate the phase for each signal phase1 = np.arctan2(Q1, I1) # Phase of signal1 in radians phase2 = np.arctan2(Q2, I2) # Phase of signal2 in radians # Compute the phase difference phase_diff_rad = phase1 - phase2 # Normalize phase difference to the range [-π, π] phase_diff_rad = np.mod(phase_diff_rad + np.pi, 2 * np.pi) - np.pi # Convert phase difference to degrees phase_diff_deg = np.degrees(phase_diff_rad) # Output the phase difference output_items[0][:] = phase_diff_deg return len(output_items[0]) It could be possible to get stable/accurate values using IQ Demodulation technique or any other robust method? Kindly help, where I'm making mistakes. Best regards Muhammad Anas
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