EXTENDING THE CBSL ALGORITHM FOR DIRECTION OF ARRIVAL ESTIMATION WITH A NESTED ARRAY IN PASSIVE SONAR

Abstract

This paper investigates the application of the CBSL (Combine Filter - Broadband - Simultaneous Orthogonal Matching Pursuit - Least Squares) algorithm for Direction of Arrival (DOA) estimation in passive sonar using a Nested Array. The algorithm integrates sparse representation and adaptive comb filtering, which was previously proposed by the authors. The paper focuses on analyzing the signal model for the Nested Array and evaluating the performance of the proposed method through simulations. The results demonstrate that this approach improves spectral resolution, reduces the number of sidelobes, and enhances DOA accuracy compared to the Uniform Linear Array (ULA).