MATLAB Implementation of Various MUSIC Algorithms

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Resource Overview

Implementation of multiple MUSIC algorithms including far-field linear arrays, near-field linear arrays, near-field circular arrays, and far-field circular arrays, with accurate DOA estimation for elevation and azimuth angles through spectral peak search and covariance matrix processing.

Detailed Documentation

This article explores various MUSIC (Multiple Signal Classification) algorithms and their applications, covering far-field linear arrays, near-field linear arrays, near-field circular arrays, and far-field circular arrays. The implementation focuses on accurate estimation of Direction of Arrival (DOA) angles, elevation angles, and azimuth angles through proper signal processing techniques. Key algorithmic components include covariance matrix computation, eigenvalue decomposition, and spectral peak search for angle estimation. Practical implementation tips and suggestions are provided to help readers better understand these domains and achieve improved results in practical applications, including code optimization strategies for handling different array geometries and signal environments.

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