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Received: 2016-06-06

Revision Accepted: 2016-11-28

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Frontiers of Information Technology & Electronic Engineering  2017 Vol.18 No.12 P.2058-2069

http://doi.org/10.1631/FITEE.1601310


Ultra-wideband FMCW ISAR imaging with a large rotation angle based on block-sparse recovery


Author(s):  Ke Jin, Tao Lai, Gong-quan Li, Ting Wang, Yong-jun Zhao

Affiliation(s):  Zhengzhou Institute of Information Science and Technology, Zhengzhou 450000, China

Corresponding email(s):   jk83302536@126.com

Key Words:  Frequency modulated continuous wave (FMCW), Inverse synthetic aperture radar (ISAR), Match-filter-based algorithm, Compressed sensing, Block sparsity


Ke Jin, Tao Lai, Gong-quan Li, Ting Wang, Yong-jun Zhao. Ultra-wideband FMCW ISAR imaging with a large rotation angle based on block-sparse recovery[J]. Frontiers of Information Technology & Electronic Engineering, 2017, 18(12): 2058-2069.

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author="Ke Jin, Tao Lai, Gong-quan Li, Ting Wang, Yong-jun Zhao",
journal="Frontiers of Information Technology & Electronic Engineering",
volume="18",
number="12",
pages="2058-2069",
year="2017",
publisher="Zhejiang University Press & Springer",
doi="10.1631/FITEE.1601310"
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%A Ke Jin
%A Tao Lai
%A Gong-quan Li
%A Ting Wang
%A Yong-jun Zhao
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T1 - Ultra-wideband FMCW ISAR imaging with a large rotation angle based on block-sparse recovery
A1 - Ke Jin
A1 - Tao Lai
A1 - Gong-quan Li
A1 - Ting Wang
A1 - Yong-jun Zhao
J0 - Frontiers of Information Technology & Electronic Engineering
VL - 18
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EP - 2069
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PB - Zhejiang University Press & Springer
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DOI - 10.1631/FITEE.1601310


Abstract: 
Ultra-wideband frequency modulated continuous wave (FMCW) radar has the ability to achieve high-range resolution. Combined with the inverse synthetic aperture technique, high azimuth resolution can be realized under a large rotation angle. However, the range-azimuth coupling problem seriously restricts the inverse synthetic aperture radar (ISAR) imaging performance. Based on the turntable model, traditional match-filter-based, range Doppler algorithms (RDAs) and the back projection algorithm (BPA) are investigated. To eliminate the sidelobe effects of traditional algorithms, compressed sensing (CS) is preferred. Considering the block structure of a signal at high resolution, a block-sparsity adaptive matching pursuit algorithm (BSAMP) is proposed. By matching pursuit and backtracking, a signal with unknown sparsity can be recovered accurately by updating the support set iteratively. Finally, several experiments are conducted. In comparison with other algorithms, the results from processing the simulation data, some simple targets, and a complex target indicate the effectiveness and superiority of the proposed algorithm.

基于块稀疏的超宽带FMCW雷达ISAR大转角成像

概要:超宽带调频连续波雷达可凭借大带宽获得极高的距离分辨率。同时,结合逆合成孔径技术,在大转角条件下进一步得到二维高分辨目标图像。然而,在逆合成孔径雷达中的距离-方位耦合问题严重制约了成像性能。本文基于转台模型的假设,研究传统的匹配滤波类算法,如距离多普勒算法和后向投影算法。为消除传统算法中的高旁瓣效应,进一步探索压缩感知类算法。考虑到高分辨条件下信号的块稀疏特性,本文重点研究了基于块稀疏的自适应匹配追踪大转角ISAR(inverse synthetic aperture radar)成像算法。通过信号对字典的匹配追踪与回溯更新,将雷达回波在未知稀疏度下精确重构,最终得到目标ISAR图像。计算机仿真、简单目标和复杂目标实验结果证明了该算法相比其他算法的有效性和优越性。

关键词:调频连续波;逆合成孔径雷达;匹配滤波;压缩感知;块稀疏

Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article

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