Classic MUSIC Algorithm

Resource Overview

Simulation of the classical radar angle-of-arrival estimation algorithm, MUSIC algorithm, which offers high-resolution target detection capabilities through eigen-decomposition of signal covariance matrices.

Detailed Documentation

This document presents a simulation of the classical radar angle estimation algorithm and the MUSIC (Multiple Signal Classification) algorithm. These high-resolution algorithms enable precise detection of target object positions and directions by leveraging subspace decomposition techniques. The implementation involves computing the signal covariance matrix, performing eigenvalue decomposition to separate signal and noise subspaces, and constructing the MUSIC spatial spectrum through peak search algorithms. Through these algorithms, we gain deeper insights into radar signal processing and target detection methodologies, with applications spanning military systems, aerospace technology, and civilian sectors. Our research contributes significantly to advancing these fields by demonstrating practical implementation approaches including array signal preprocessing, covariance matrix estimation, and pseudospectrum calculation functions.