Robust reverberation reduction for a stationary target in the shallow water

Yunchao Zhu; Kunde Yang; Rui Duan

doi:10.1117/12.2625177

27 March 2022 Robust reverberation reduction for a stationary target in the shallow water

Yunchao Zhu, Kunde Yang, Rui Duan

Proceedings Volume 12169, Eighth Symposium on Novel Photoelectronic Detection Technology and Applications; 121698O (2022) https://doi.org/10.1117/12.2625177
Event: Eighth Symposium on Novel Photoelectronic Detection Technology and Applications, 2021, Kunming, China

Abstract

Reverberation has an adverse effect in target echo detection, especially in shallow water. The low-rank and sparsity decomposition method can effectively reduce reverberation, based on the characteristic of low-rank for reverberation and sparsity for a moving target, in multiple pings of detection. However, the complexity of the target state challenges the performance of this method. In the case of a stationary target, the distinctions of the characteristics between reverberation and the target become ambiguous. After reverberation reduction is performed, the target echo can appear in the low-rank matrix rather than in the sparse matrix. Consequently, the target cannot be detected. There is a degraded reverberation reduction performance. To guarantee a meaningful decomposition, based on the random orthogonal model and the random sparsity model, the identifiability condition for the decomposition is derived. According to the condition, the method of sparse matrix is increased in dimension size is proposed, to manage detection probability shrinkage caused by the stationary target. Finally, the robust reverberation reduction performance is verified via some number simulations and synthetic data. It is demonstrated that the stationary target could be detected under a large ping number of the matrix.

Citation Download Citation

Yunchao Zhu, Kunde Yang, and Rui Duan "Robust reverberation reduction for a stationary target in the shallow water", Proc. SPIE 12169, Eighth Symposium on Novel Photoelectronic Detection Technology and Applications, 121698O (27 March 2022); https://doi.org/10.1117/12.2625177

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KEYWORDS

Target detection

Environmental sensing

Active sonar

Mathematics

Matrices

Performance modeling

Signal processing

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