Multidimensional real aperture radar imaging

Xingdong Liang*, Ran Tao, Shiyong Zhou, Yue Wang

*Corresponding author for this work

Research output: Contribution to conferencePaperpeer-review

4 Citations (Scopus)

Abstract

One drawback of real aperture radar imaging is that closely placed scatterers that can not be separated in range will not be drawn apart in cross range. An algorithm based on super resolution spectral estimation and Total Least Squares is proposed in this paper in order to solve this problem. MUSIC algorithm is used to estimate the range position of closely located scatterers with high accuracy and Total Least Squares is used to estimate the cross-range position of scatterers. Theoretical analysis and simulation show this method is capable to resolve closely placed scatterers and is robust to range position estimation error so that a more accurate multi-dimensional image of the target can be generated.

Original languageEnglish
Pages675-678
Number of pages4
Publication statusPublished - 2001
Event2001 CIE International Conference on Radar Proceedings - Beijing, China
Duration: 15 Oct 200118 Oct 2001

Conference

Conference2001 CIE International Conference on Radar Proceedings
Country/TerritoryChina
CityBeijing
Period15/10/0118/10/01

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