A Novel Directional Finding Algorithm Applying to Underwater Passive Sonar System Based on Sparse Representation Combined Adaptive Comb Filter

This paper presents an overview of sparse signal representation-based directional finding methods, encompassing mathematical foundations and proposed algorithms. Additionally, the article defines the system model, signal model, and wideband directional finding solution of sparse representation methods. A novel algorithm named CMBF-BB-SOMP-LS is introduced, combining an adaptive comb filter and sparse signal representation to perform direction finding for maritime propeller-equipped targets. Simulation results demonstrate that the CMBF-BB-SOMP-LS algorithm performs best in the correlated sources scenario compared to the basic OMP algorithm and algorithms based on MUSIC. Furthermore, this new algorithm achieves the narrowest main lobe and the smallest error, showing stability across the investigated SNR range. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.