基于知识的海杂波背景下距离扩展目标检测

doi:10.11999/JEIT160905

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Abstract

For the problem of detection performance loss of adaptive detectors on the condition that the secondary data are limited, the adaptive detection method of range-spread target based on the prior knowledge of clutter is proposed. The texture and the covariance matrix of speckle of clutter are respectively modeled as the random variable which follows the inverse Gamma distribution and the random matrix which follows the inverse complex Wishart distribution. Based on the prior knowledge, the Maximum A Posteriori (MAP) estimation of texture component is obtained and the adaptive detector of range spread target which does not need the secondary data is designed via utilizing the generalized likelihood ratio test. Finally, the detection performances of the proposed detector are evaluated and the experimental results illustrate that the proposed detector is robust in parameters mismatched situation and outperforms the conventional generalized likelihood ratio test detector for range-spread target in limited secondary data scenarios.

Key words： Range-spread target Prior knowledge Compound Gaussian clutter Inverse Gamma distribution Inverse complex Wishart distribution

Received: 07 September 2016 Published: 02 December 2016

PACS:

TN957.51

Fund:

The National Natural Science Foundation of China (61201296, 61372136), The Fundamental Research Funds for the Central Universities (JB160224), Young Talent Fund of University Association for Science and Technology in Shaanxi Province (20160205)

Corresponding Authors: XU Shuwen E-mail: swxu@mail.xidian.edu.cn

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	XU Shuwen
	XUE Jian
	SHUI Penglang

Cite this article:

XU Shuwen,XUE Jian,SHUI Penglang. Adaptive Detection of Range-spread Targets Based on Knowledge in Sea Clutter Background[J]. JEIT, 2016, 38(12): 3004-3010.

URL:

http://jeit.ie.ac.cn/EN/10.11999/JEIT160905 OR http://jeit.ie.ac.cn/EN/Y2016/V38/I12/3004

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