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Improved AR-Based GLRT Detector for Range-Spread Targets in Compound-Gaussian Clutter without Secondary Data

Xiao-Fei Shuai Ling-Jiang Kong Jian-Yu Yang

电子科技学刊2011，Vol.9Issue(2)：180-184,5.

电子科技学刊2011，Vol.9Issue(2)：180-184,5.DOI:10.3969/j.issn.1674-862X.2011.02.013

Improved AR-Based GLRT Detector for Range-Spread Targets in Compound-Gaussian Clutter without Secondary Data

Xiao-Fei Shuai ¹Ling-Jiang Kong ¹Jian-Yu Yang¹

作者信息

1. School of Electronic Engineering, University of Electronic Science and Technology of China, Chengdu 610054, China
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摘要

关键词

Autoregressive model/compound Gaussian/distributed targets/generalized likelihood ratio test

Key words

Autoregressive model/compound Gaussian/distributed targets/generalized likelihood ratio test

引用本文复制引用

Xiao-Fei Shuai,Ling-Jiang Kong,Jian-Yu Yang..Improved AR-Based GLRT Detector for Range-Spread Targets in Compound-Gaussian Clutter without Secondary Data [J].电子科技学刊,2011,9(2):180-184,5.

基金项目

This work was supported by the Fundamental Research Funds for the Central Universities under Grant No.E022050205. （）

电子科技学刊

ISSN：1674-862X

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