Classic MUSIC Algorithm Implementation and Analysis
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This article explores the classic implementation of the MUSIC (Multiple Signal Classification) algorithm and provides complete source code for generating simulation graphics. The implementation includes signal subspace decomposition using eigenvalue analysis and noise subspace identification for high-resolution direction of arrival (DOA) estimation. Additionally, we demonstrate how to calculate the Root Mean Square Error (RMSE) of the MUSIC algorithm through Monte Carlo simulations, which involves statistical analysis of estimation accuracy across multiple trials. The code features covariance matrix computation, spectral peak searching functions, and performance evaluation metrics. These technical insights will help readers better understand the operational principles and application scenarios of the MUSIC algorithm in array signal processing. We hope this comprehensive resource proves valuable for your research and implementation needs.
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