Multidimensional Low-Rank Filter based on the AU-HOSVD for MIMO STAP

被引：0

作者：

Boizard, Maxime ^{[1
,4
]}

Brigui, Frederic ^{[2
]}

Ginolhac, Guillaume ^{[3
]}

Pascal, Frederic

Forster, Philippe ^{[1
,4
]}

Sun, Hong Bo ^{[2
]}

机构：

[1] UniverSud, CNRS, ENS Cachan, Satie Lab, F-94235 Cachan, France

[2] Nanyang Technol Univ, Temasek Labs NTU, Singapore 637553, Singapore

[3] Polytech Annecy Chambery, LISTIC, Annecy Le Vieux, France

[4] Supelec, SONDRA Lab, Gif Sur Yvette, France

来源：

2013 IEEE 5TH INTERNATIONAL WORKSHOP ON COMPUTATIONAL ADVANCES IN MULTI-SENSOR ADAPTIVE PROCESSING (CAMSAP 2013) | 2013年

关键词：

D O I：

暂无

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

We propose in this paper a new low rank filter for MIMO STAP (Multiple Input Multiple Output Space Time Adaptive Processing) based on the AU-HOSVD (Alternative Unfolding Higher Order Singular Value Decomposition). This decomposition called the AU-HOSVD is able to process data in correlated dimensions which is desirable for STAP methods. We apply the new filter to MIMO STAP simulated data. The results are encouraging and outperforms the conventional STAP 2D filter in terms of number of secondary data.

引用

页码：412 / +

页数：2

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