REDUCED-DIMENSION SPACE-TIME ADAPTIVE PROCESSING IN THE PRESENCE OF MULTIPLE TARGETS

Authors

Lei Xie, University of Electronic Science and Technology of China
Pei Li, Shanghai Aerospace Electronic Technology Institute
Xingyi Su, Shanghai Aerospace Electronic Technology Institute
Jun Tong, University of Wollongong
Zishu He, University of Electronic Science and Technology of China
Wei Zhang, University of Electronic Science and Technology of China

Publication Name

International Geoscience and Remote Sensing Symposium (IGARSS)

Abstract

This paper considers the best channel selection for reduced-dimension space-time adaptive processing (STAP) in the presence of multiple targets. An algorithm based on semidefinite programming (SDP) is proposed to achieve the best channel selection by optimizing the worst case of the detection performance of the different targets. Compared with some existing algorithms which only consider the single-target case, the proposed algorithm can provide considerable performance improvements for detecting several different targets. Simulations are conducted for validating the proposed method and demonstrating their high performance.

Open Access Status

This publication is not available as open access

Volume

2021-July

First Page

3125

Last Page

3128