MUSIC Algorithm Simulation Programs

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Resource Overview

This repository contains multiple MUSIC algorithm simulation implementations including 1D classical MUSIC, ESPRIT algorithm, Root-MUSIC, 2D planar array MUSIC, L-shaped array algorithm, spatial smoothing MUSIC, propagation algorithm, and field testing programs. The field testing program specifically addresses the gap between theory and practice, featuring a uniform four-element array with dual-signal processing that significantly improves performance in real-world measurement scenarios where classical algorithms often fail to deliver ideal results.

Detailed Documentation

This documentation presents various MUSIC algorithm simulation programs including classical 1D MUSIC, ESPRIT algorithm, Root-MUSIC, 2D planar array MUSIC, L-shaped array configuration, spatial smoothing MUSIC, propagation algorithm, and field testing implementations. The field testing program notably differs from classical MUSIC algorithms by employing a uniform four-element array processing two signals simultaneously. This implementation incorporates practical signal preprocessing and covariance matrix estimation techniques tailored for real measurement environments. The code features adaptive threshold setting and robust eigenvalue decomposition methods to handle measurement uncertainties. These algorithms provide substantial assistance for field experiments where classical approaches often yield suboptimal results, as we have extensively validated through prolonged testing and debugging efforts.

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