Subspace Projection for Adaptive Generalized Likelihood Ratio Detection in Compound-Gaussian Clutter

摘要：

Poorly parameter estimates seriously depress the performance of adaptive GLRT detector. In this paper, orthogonal subspace projection algorithm is adopted to suppress clutter energy and mitigate performance degradation due to parameters estimation error. Simulations illustrate the effectiveness of this method.

关键词： Detection Generalized likelihood ratio test (GLRT) orthogonal subspace projection

作者: Tianxian Zhang Lingjiang Kong Xiaobo Yang Xiaofei Shuai

作者单位: School of Electronic Engineering,University of Electronic Science and Technology of China Chengdu, Sichuan, P. R. China, 611731

会议类型: 国际会议

会议名称: 2011 IEEE CIE International Conference on Radar(2011年IEEE国际雷达会议RADAR 2011)

会议地点: 成都

会议语种:英文

页码: 1725-1728

在线出版日期: 2011-10-24（万方平台首次上网日期，不代表论文的发表时间）