Variants of the MUSIC Algorithm

In this text, we can further introduce the variants of the MUSIC algorithm and how it utilizes a dynamic signal-to-noise ratio (SNR) approach for Direction of Arrival (DOA) estimation. The MUSIC algorithm is a high-resolution spectral analysis method widely used in signal processing due to its excellent beamforming capabilities. In the standard MUSIC algorithm, the signal subspace is decomposed into signal and noise subspaces, and the peaks of the signal subspace are estimated using least squares methods. The dynamic SNR-based variant adjusts the SNR in the signal and noise subspaces dynamically, leading to more accurate DOA estimates. This variant typically involves computing the covariance matrix of the input signals, performing eigenvalue decomposition to separate signal and noise subspaces, and applying SNR-weighted metrics to enhance resolution. As a result, this SNR-adaptive MUSIC algorithm offers higher reliability and accuracy in practical applications, especially in environments with fluctuating noise conditions.