Analysis of joint polarization-space-time processing methods with applications in phased array radars

被引：0

作者：

Rao N.-N. ^{[1
]}

Jia H.-Y. ^{[1
]}

Cheng Y.-F. ^{[2
]}

Qiu C.-Y. ^{[2
]}

机构：

[1] School of Life Science and Technology, University of Electronic Science and Technology of China

[2] Institute of Radar and Electronic Equipments

来源：

Dianzi Keji Daxue Xuebao/Journal of the University of Electronic Science and Technology of China | 2010年 / 39卷 / 05期

关键词：

Generalized likelihood ratio; Localization; Non-Gaussian clutter; Polarization; Space-time processing;

D O I：

10.3969/j.issn.1001-0548.2010.05.004

中图分类号：

学科分类号：

摘要：

Most of previous conclusions on the target detection ability increase of phased array radars by utilizing the joint polarization-space-time processing methods were obtained under the environment of Gaussian clutters. The real clutter environments are much more complex than that showed by Gaussian clutter models. By means of the theoretical analysis and the simulation experiments, the target detection ability of phased array radar with the polarization-space-time generalized likelihood radio (PST-GLR) algorithm and joint polarization- zspace-time localize GLR (PSTL-GLR) algorithm are analyzed under the environment of non-Gaussian clutters. The results show that the PST-GLR algorithm is robust against non - Gaussian clutters, but it requires large numbers of echo data to estimate the covariance matrix of clutters and noises in the process of target detection. Although PSTL-GLR algorithm requires less echo data in the process of target detection, its target detection ability degraded seriously so that it is invalidation under the environment of non-Gaussian clutters.

引用

页码：666 / 669+675

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