CLC number: TN4
On-line Access: 2024-08-27
Received: 2023-10-17
Revision Accepted: 2024-05-08
Crosschecked: 2017-12-20
Cited: 0
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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.
@article{title="Ultra-wideband FMCW ISAR imaging with a large rotation angle based on block-sparse recovery",
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"
}
%0 Journal Article
%T Ultra-wideband FMCW ISAR imaging with a large rotation angle based on block-sparse recovery
%A Ke Jin
%A Tao Lai
%A Gong-quan Li
%A Ting Wang
%A Yong-jun Zhao
%J Frontiers of Information Technology & Electronic Engineering
%V 18
%N 12
%P 2058-2069
%@ 2095-9184
%D 2017
%I Zhejiang University Press & Springer
%DOI 10.1631/FITEE.1601310
TY - JOUR
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
IS - 12
SP - 2058
EP - 2069
%@ 2095-9184
Y1 - 2017
PB - Zhejiang University Press & Springer
ER -
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.
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