ISAR Maneuvering Target Imaging Based on Compressive Time-Frequency Distribution

被引：0
|
作者：
Qian, Jiang [1 ]
Bi, Guoan [1 ]
Lv, Xiaolei [2 ]
机构：
[1] Nanyang Technol Univ, Sch EEE, Singapore 639798, Singapore
[2] Rensselaer Polytech Inst, Dept Elect Comp & Syst Eng, Troy, NY 48083 USA
来源：
2012 13TH INTERNATIONAL RADAR SYMPOSIUM (IRS) | 2012年
关键词：
ISAR; maneuvering target; time-frequency distribution; compressive sensing; TRANSFORM;
D O I：
暂无
中图分类号：
TN [电子技术、通信技术];
学科分类号：
0809 ;
摘要：
Based on compressive sensing theory, a new method for high resolution inverse aperture radar (ISAR) imaging of maneuvering target is proposed. In this method, only a few measurements in ambiguity function plane are sampled to reconstruct the time-frequency distribution by solving the inverse problem using basis pursuit method. With a Gaussian window as a sampling function, the trade-off between the cross-term suppression and resolution is properly dealt with, and the proposed method obtains clear ISAR image of maneuvering target with a high resolution. The effectiveness of the proposed method is studied with testing data.
引用
收藏
页码：430 / 434
页数：5
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