Spectral Peak Search Function for DOA Estimation Algorithms

In DOA (Direction of Arrival) estimation algorithms, we employ the spectral peak search function to achieve enhanced performance. This function operates as a spectrum analysis-based method that automatically detects frequency components within signals and determines their corresponding amplitudes. The implementation typically involves scanning through the power spectrum or spatial spectrum generated by algorithms like MUSIC (Multiple Signal Classification) or ESPRIT (Estimation of Signal Parameters via Rotational Invariance Techniques). Through peak detection algorithms such as local maximum comparison or threshold-based methods, the function identifies prominent peaks representing signal sources. This enables more accurate angle estimation of incoming signals by mapping spectral peaks to spatial directions. The spectral peak search function also incorporates noise floor estimation and peak validation mechanisms to distinguish genuine signal peaks from noise artifacts. Consequently, it serves as an indispensable component in DOA estimation systems, significantly improving estimation accuracy and reliability through robust peak identification and direction determination capabilities.