Long-time adaptive coherent detection of small targets in sea clutter using inversion of block tridiagonal covariance matrices

Xiaojun Zhang; Yufan Xue; Penglang Shui

doi:10.1117/12.3023236

28 March 2024 Long-time adaptive coherent detection of small targets in sea clutter using inversion of block tridiagonal covariance matrices

Xiaojun Zhang, Yufan Xue, Penglang Shui

Author Affiliations +

Proceedings Volume 13091, Fifteenth International Conference on Signal Processing Systems (ICSPS 2023); 1309113 (2024) https://doi.org/10.1117/12.3023236
Event: Fifteenth International Conference on Signal Processing Systems (ICSPS 2023), 2023, Xi’an, China

Abstract

Low-velocity small target detection in maritime surveillance radars is always a challenging task. Low signal-to-clutter ratio requires long-time coherent integration to obtain enough gain of target returns. However, long-time coherent integration encounters insufficient secondary data due to the spatial inhomogeneity of sea clutter. In this paper, considering the decorrelation time of speckle component of sea clutter short up to a dozen of milliseconds, the spherical invariant random vector (SIRV) model with block tridiagonal speckle covariance matrix and the inverse Gamma distributed texture is proposed to model sea clutter sequences in several tenths of a second. In this model, a long-time adaptive generalized likelihood ratio test with linear threshold detector (GLRT-LTD) is constructed. Owing to the block tridiagonal structure of speckle covariance matrices, the adaptive detection requires much less reference cells for speckle covariance matrix estimation and much lower computational cost for its inversion. The proposed detector is verified by an X-band CSIR radar database with low-velocity small boats as test targets. The experimental result shows that it obtains competitive detection performance in comparison with the state-of-the-art detectors.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Xiaojun Zhang, Yufan Xue, and Penglang Shui "Long-time adaptive coherent detection of small targets in sea clutter using inversion of block tridiagonal covariance matrices", Proc. SPIE 13091, Fifteenth International Conference on Signal Processing Systems (ICSPS 2023), 1309113 (28 March 2024); https://doi.org/10.1117/12.3023236

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