FAST TOTAL VARIATION SUPERRESOLUTION METHOD FOR RADAR FORWARD-LOOKING IMAGING

被引:0
|
作者
Zhang, Qiping [1 ]
Zhang, Yongchao [1 ]
Zhang, Yin [1 ]
Huang, Yulin [1 ]
Li, Wenchao [1 ]
Yang, Jianyu [1 ]
机构
[1] Univ Elect Sci & Technol China, 2006 Xiyuan Ave, Chengdu 611731, Sichuan, Peoples R China
基金
中国国家自然科学基金;
关键词
Superresolution; total variation; radar imaging; Gohberg-Semencul representation; Toeplitz;
D O I
10.1109/IGARSS39084.2020.9323315
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Total variation (TV) method has been utilized to realize superresolution and preserve contour information of target in radar forward-looking imaging. However, its real-time ability is restricted to matrix inversion. In this paper, a fast TV (FTV) superresolution method is proposed to improve the real-time superresolution ability of traditional TV method. The proposed FTV method utilizes the low displacement rank features of Toplitz matrix and realizes fast matrix inversion by Gohberg-Semencul (GS) representation. It not only effectively improves the azimuth resolution and preserve the contour information of target, but also reduced the computational complexity of traditional TV method to improve its real-time superresolution ability. The superior performance of the proposed FTV method is verified by simulation and measured data processing.
引用
收藏
页码:6571 / 6574
页数:4
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