Maneuvering target imaging and scaling by using sparse inverse synthetic aperture

被引:22
作者
Xu, Gang [1 ,2 ]
Yang, Lei [1 ,3 ]
Bi, Guoan [1 ]
Xing, Mengdao [4 ]
机构
[1] Nanyang Technol Univ, Sch Elect & Elect Engn, 50 Nanyang Ave, Singapore 639798, Singapore
[2] Southeast Univ, State Key Lab Millimeter Waves, Nanjing 210096, Jiangsu, Peoples R China
[3] Civil Aviat Univ China, Tianjin Key Lab Adv Signal Proc, Tianjin 300300, Peoples R China
[4] Xidian Univ, Natl Lab Radar Signal Proc, Xian 710071, Peoples R China
关键词
Inverse synthetic aperture radar (ISAR); Sparse aperture (SA); Maneuvering targets; Motion estimation; ERROR-CORRECTION; CLEAN TECHNIQUE; ISAR IMAGES; RADAR; SAR; ALGORITHM; EXTRAPOLATION; TRANSFORM; AMPLITUDE;
D O I
10.1016/j.sigpro.2017.01.016
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
In recent years, there have been increasing interests in addressing the issue of high-resolution inverse synthetic aperture radar (ISAR) imaging from sparse aperture (SA) data. The non-uniform rotation property of maneuvering target introduces non-stationary echo modulation to exhibit two-dimensional (2-D) migration through resolution cells (MTRC), which increases the difficulty of SA-ISAR imaging. In this paper, we focus on ISAR imaging and scaling of maneuvering target for effective MTRC correction and SA synthesis. Under a scaled non-uniform Fourier dictionary to include MTRC, SA maneuvering target imaging is formatted as sparse representation with maximum a posterior (MAP) estimation. Then, sparse ISAR imaging joint with parameter estimation is solved by using a two-step procedure. The estimated rational parameters are used to rescale the reconstructed ISAR image to extract the 2-D target geometry. Finally, the experiments based on simulated and measured data are performed to confirm the effectiveness of the proposed algorithm. (C) 2017 Elsevier B.V. All rights reserved.
引用
收藏
页码:149 / 159
页数:11
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