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Open AccessArticle

An Efficient ISAR Imaging of Targets with Complex Motions Based on a Quasi-Time-Frequency Analysis Bilinear Coherent Algorithm

by 1, 2, 2,3,4,*, 5 and 3
1
National Laboratory of Radar Signal Processing, Xidian University, Xian 710071, China
2
Center of Communication and Tracking Telemetering Command, Chongqing University, Chongqing 400044, China
3
Key Laboratory of Complex System Safety and Control, Ministry of Education, Chongqing University, Chongqing 400044, China
4
Guangxi Key Laboratory of Wireless Wideband Communication and Signal Processing, Guilin University of Electronic Technology 541004, China
5
Chongqing Key Laboratory of Mobile Communications Technology, Chongqing University of Posts and Telecommunications, Chongqing 400065, China
*
Author to whom correspondence should be addressed.
Sensors 2018, 18(9), 2814; https://doi.org/10.3390/s18092814
Received: 20 July 2018 / Revised: 17 August 2018 / Accepted: 24 August 2018 / Published: 26 August 2018
(This article belongs to the Special Issue Sensors for Microwave Imaging and Detection)
The inverse synthetic aperture radar (ISAR) imaging for targets with complex motions has always been a challenging task due to the time-varying Doppler parameter, especially at the low signal-to-noise ratio (SNR) condition. In this paper, an efficient ISAR imaging algorithm for maneuvering targets based on a noise-resistance bilinear coherent integration is developed without the parameter estimation. First, the received signals of the ISAR in a range bin are modelled as a multicomponent quadratic frequency-modulated (QFM) signal after the translational motion compensation. Second, a novel quasi-time-frequency representation noise-resistance bilinear Radon-cubic phase function (CPF)-Fourier transform (RCFT) is proposed, which is based on the coherent integration of the energy of auto-terms along the slope line trajectory. In doing so, the RCFT also effectively suppresses the cross-terms and spurious peaks interference at no expense of the time-frequency resolution loss. Third, the cross-range positions of target’s scatters in ISAR image are obtained via a simple maximization projection from the RCFT result to the Doppler centroid axis, and the final high-resolution ISAR image is thus produced by regrouping all the range-Doppler frequency centroids. Compared with the existing time-frequency analysis-based and parameter estimation-based ISAR imaging algorithms, the proposed method presents the following features: (1) Better cross-term interference suppression at no time-frequency resolution loss; (2) computationally efficient without estimating the parameters of each scatters; (3) higher signal processing gain because of 2-D coherent integration realization and its bilinear function feature. The simulation results are provided to demonstrate the performance of the proposed method. View Full-Text
Keywords: inverse synthetic aperture radar (ISAR); maneuvering targets; radon-CPF-Fourier transform (RCFT); low SNR environment inverse synthetic aperture radar (ISAR); maneuvering targets; radon-CPF-Fourier transform (RCFT); low SNR environment
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MDPI and ACS Style

Zeng, C.; Qin, M.; Li, D.; Liu, H.; Chai, Y. An Efficient ISAR Imaging of Targets with Complex Motions Based on a Quasi-Time-Frequency Analysis Bilinear Coherent Algorithm. Sensors 2018, 18, 2814. https://doi.org/10.3390/s18092814

AMA Style

Zeng C, Qin M, Li D, Liu H, Chai Y. An Efficient ISAR Imaging of Targets with Complex Motions Based on a Quasi-Time-Frequency Analysis Bilinear Coherent Algorithm. Sensors. 2018; 18(9):2814. https://doi.org/10.3390/s18092814

Chicago/Turabian Style

Zeng, Cao; Qin, Mengyi; Li, Dong; Liu, Hongqing; Chai, Yi. 2018. "An Efficient ISAR Imaging of Targets with Complex Motions Based on a Quasi-Time-Frequency Analysis Bilinear Coherent Algorithm" Sensors 18, no. 9: 2814. https://doi.org/10.3390/s18092814

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