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This is a Quantitative Study study.

October 19, 2025

1 A. Moffet, "Minimum-redundancy linear arrays", IEEE Transactions on Antennas and Propagation, Vol. 16, Iss. 2, pp. 172-175, 1968. DOI: 10.1109/TAP.1968.1139138 2 G. S. Bloom and S. W. Golomb, "Applications of numbered undirected graphs", in Proceedings of the IEEE, Vol. 65, Iss. 4, pp. 562-570, 1977. DOI: 10.1109/PROC.1977.10517 3 P. Pal and P. P. Vaidyanathan, "Nested arrays in two dimensions, Part I: Geometrical considerations", IEEE Transactions on Signal Processing, Vol. 60, No. 9, …

Key Points

The proposed CBSL algorithm enhances direction of arrival estimation in passive sonar using a nested array.
Simulation results indicate improved spectral resolution and reduced sidelobes compared to uniform linear arrays.
Integrating adaptive comb filtering with sparse representation improves overall performance in signal detection.
This study highlights the advantages of nested arrays for accurate DOA estimation in sonar applications.

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).

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