MATLAB Implementation of MUSIC Algorithm for DOA and Time-Frequency Estimation

This text describes a program called MUSIC, which is used for Direction of Arrival (DOA) estimation and time-frequency estimation. The program is implemented using standard MATLAB language. It is important to note that in DOA estimation and time-frequency analysis, the MUSIC program serves as a crucial tool that enables more accurate estimation of signal directions and frequencies. The MATLAB implementation typically involves key functions such as covariance matrix calculation, eigenvalue decomposition, and spatial spectrum computation using the MUSIC algorithm's pseudospectrum formula. Additionally, the MUSIC program finds applications in various other domains including audio processing, signal processing, radar systems, and wireless communications. The algorithm works by exploiting the orthogonality between signal and noise subspaces through eigendecomposition of the sensor array's covariance matrix. Therefore, mastering the usage of the MUSIC program and understanding its MATLAB implementation is highly beneficial for engineers and researchers working in array signal processing and spectral estimation fields. The code typically includes array configuration parameters, signal preprocessing steps, and visualization of spatial spectrum results.