A New Motion Parameter Estimation Algorithm Based on SDFC-LVT

被引:27
作者
Tian, Jing [1 ,2 ]
Cui, Wei [1 ]
Xia, Xiang-Gen [3 ,4 ]
Wu, Siliang [1 ]
机构
[1] Beijing Inst Technol, Sch Informat & Elect, Beijing 100081, Peoples R China
[2] Beijing Inst Remote Sensing Equipment, Beijing 100854, Peoples R China
[3] Shenzhen Univ, Coll Informat Engn, Shenzhen 518060, Peoples R China
[4] Univ Delaware, Dept Elect & Comp Engn, Newark, DE 19716 USA
基金
北京市自然科学基金;
关键词
FRACTIONAL FOURIER-TRANSFORM; SYNTHETIC-APERTURE RADAR; MOVING TARGET DETECTION; WIGNER DISTRIBUTION; SAR;
D O I
10.1109/TAES.2016.150352
中图分类号
V [航空、航天];
学科分类号
08 ; 0825 ;
摘要
This paper proposes a new motion parameter estimation algorithm, namely subband dual-frequency conjugate-Lv's transform, for fast moving targets. This algorithm first constructs two subband signals with different central frequencies. Then, the two signals are shifted by different values and a new signal is constructed by multiplying one with the complex conjugate of the other. Finally, Keystone transform and LVT are performed to obtain the estimates. This method does not need any prior-knowledge of targets and can resolve the Doppler ambiguity problem when Keystone transform does not work, especially when the ambiguity number splits into two numbers. Both simulated and real data demonstrate the effectiveness of the proposed algorithm.
引用
收藏
页码:2331 / 2346
页数:16
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