Airborne Bistatic Forward-Looking SAR Using the Polynomial NCS Algorithm

被引：0
|
作者：
Mei, Hai-wen [1 ]
Meng, Zi-qiang [2 ]
Li, Ya-chao [1 ]
Liu, Meng-qi [3 ]
Guo, Liang [4 ]
Xing, Meng-dao [1 ]
机构：
[1] Xidian Univ, Key Lab Radar Signal Proc, Xian 710071, Peoples R China
[2] Aviat Ind Corp China, Leihua Elect Technol Inst, Wuxi 219063, Jiangsu, Peoples R China
[3] T Rex Engn Construct, Houston, TX 77007 USA
[4] Xidian Univ, Sch Phys & Optoelect Engn, Xian 710071, Peoples R China
来源：
IEEE SENSORS LETTERS | 2018年 / 2卷 / 03期
基金：
中国国家自然科学基金;
关键词：
Microwave/millimeter wave sensors; airborne synthetic aperture radar (SAR); bistatic forward-looking; degree-of-freedom; 2-D space-variance correction;
D O I：
10.1109/LSENS.2018.2841890
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
Airborne bistatic forward-looking synthetic aperture radar (ABFL-SAR) breaks through the limitations of the conventional monostatic SAR on the forward-looking imaging. However, an ABFL-SAR is faced with the severe 2-D coupling, owing to the mechanism of translational variability, which is especially obvious in the azimuth compression compared with the conventional monostatic SAR. In this article, we improve the nonlinear chirp scalling (NCS) algorithm on the basis of polynomial fitting for ABFL-SAR with the cross trajectory. Simulation results further validate the effectiveness of the proposed algorithm.
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页数：4
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