MATLAB Algorithm for Calculating Phase Difference Between Two Signals

Resource Overview

This MATLAB implementation computes the phase difference between two signals using cross-correlation and FFT-based phase analysis methods.

Detailed Documentation

This code demonstrates how to calculate the phase difference between two signals using MATLAB. The implementation begins by importing necessary libraries and modules, specifically utilizing MATLAB's signal processing toolbox. Two input signals, Signal A and Signal B, are defined either as synthetic waveforms (such as sine waves with specified frequencies) or loaded from external data files. The core algorithm employs MATLAB's built-in functions for phase difference calculation. Key steps include: 1. Preprocessing signals (optional filtering or windowing) 2. Computing cross-correlation between the signals using xcorr() function 3. Applying Fast Fourier Transform (FFT) via fft() function to obtain frequency domain representations 4. Extracting phase information using angle() function on the complex FFT results 5. Calculating phase difference by comparing the phase angles of both signals at dominant frequency components The calculated phase difference is then output and displayed on the screen through MATLAB's command window or graphical interface. This implementation provides an efficient method for phase analysis in signal processing and communications research, supporting applications such as synchronization analysis, phase-sensitive detection, and coherent signal processing. The code structure allows for easy modification of signal parameters and incorporation of additional analysis features.