Joint Estimation of Signal Azimuth Angle and Frequency Using Planar Arrays
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The joint estimation of signal azimuth angle and frequency using planar arrays can be implemented through the MUSIC (Multiple Signal Classification) algorithm. This approach delivers more accurate signal localization and frequency estimation outcomes. The MUSIC algorithm operates as a signal subspace-based method that analyzes the spatial characteristics of received signals to determine both azimuth angle and frequency parameters. The implementation typically involves constructing a covariance matrix from received antenna array data, performing eigenvalue decomposition to separate signal and noise subspaces, and calculating the MUSIC spectrum through peak searching. Key functions include computing array manifold vectors, eigenvalue decomposition, and spectrum peak detection. By employing the MUSIC algorithm, we achieve simultaneous estimation of signal azimuth and frequency, thereby enhancing the precision and effectiveness of signal processing systems.
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