基于广义逆高斯纹理结构的目标检测算法

doi:10.12305/j.issn.1001-506X.2024.12.10

Abstract

Abstract:

A target detection algorithm based on generalized inverse Gaussian (GIG) texture structure spatial correlation is proposed to address the performance loss of coherent detectors caused by mismatched selection of sea clutter models and the assumption of completely non-uniform of sea clutter texture structures. Firstly, the target detection model under correlated clutter background is analyzed, and the spatial correlation of sea clutter texture structure is introduced as prior information. Then, based on the two-step generalized likelihood ratio test (GLRT) criterion, the coherent detector under correlated GIG texture background is derived. Finally, it is theoretically proved that the proposed detector has constant false alarm characteristics for speckle covariance matrix and target Doppler guidance vector. The experimental results based on simulation test and measured data show that the proposed detector improves the detection performance of sea surface targets in both uniform and partially uniform clutter backgrounds.

Key words: sea clutter, generalized inverse Gaussian (GIG) texture, texture spatial correlation, coherent detection

CLC Number:

TN911.23

Duo CHEN, Yifei FAN, Jia SU, Zixun GUO, Mingliang TAO. Target detection algorithm based on generalized inverse Gaussian texture structure[J]. Systems Engineering and Electronics, 2024, 46(12): 4018-4025.

Figures/Tables 11

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参数	数据1	数据2
脉冲重复频率/Hz	1 000	1 697
距离分辨率/m	30	6
极化方式	HH/HV/VH/VV	HH
海况	3~4	-

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Target detection algorithm based on generalized inverse Gaussian texture structure

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