Uniform Circular Array MUSIC Algorithm for Signal Elevation Angle Estimation

In our research on the uniform circular array MUSIC algorithm, we conducted detailed analysis of signal elevation angle estimation performance under different signal-to-noise ratio conditions. We employed root mean square error as the performance metric to quantify the accuracy of estimation results. The implementation involves constructing the covariance matrix from received array signals, performing eigenvalue decomposition to identify noise subspace, and computing the MUSIC spatial spectrum. To identify the signal elevation angle corresponding to the maximum likelihood, we implemented a spectral peak search algorithm that scans through the angular spectrum to locate coordinate points with peak values. This approach typically involves grid-based searching across elevation angles with precision control through angular resolution parameters. Through these analytical methods and implementation techniques, we can better understand and evaluate the performance characteristics of signal elevation angle estimation in array signal processing systems.