MATLAB Simulation of Power Spectrum Estimation Using MUSIC Method

MATLAB simulation of power spectrum estimation using the MUSIC method presents a fascinating and practical research endeavor. In this project, we implement spectral estimation through the MUSIC algorithm by developing MATLAB code that handles signal processing, covariance matrix calculation, and eigenvalue decomposition. The simulation employs key functions such as eig() for eigenvalue analysis and includes array signal processing techniques for spatial spectrum estimation. We provide complete source code with detailed comments, runtime results demonstrating peak detection performance, and thorough analysis of algorithm parameters like snapshot numbers and array configurations. This implementation allows researchers to examine MUSIC's resolution capabilities and compare it with conventional periodogram methods. The comprehensive documentation enables others to replicate our research process and results, contributing to deeper understanding of subspace-based spectral estimation and providing valuable references for related signal processing fields.