Image and Signal Processing Methods

Adaptive sparse reconstruction with joint parametric estimation for high-speed uniformly moving targets in coincidence imaging radar

[+] Author Affiliations
Guofeng Zha, Hongqiang Wang, Yongqiang Cheng, Yuliang Qin

National University of Defense Technology, Research Institute of Space Electronics, College of Electronics Science and Engineering, Changsha, Hunan 410073, China

Zhaocheng Yang

Shenzhen University, College of Information Engineering, Shenzhen, Guangdong 518060, China

J. Appl. Remote Sens. 10(2), 025009 (May 02, 2016). doi:10.1117/1.JRS.10.025009
History: Received May 15, 2015; Accepted March 31, 2016
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Abstract.  As a complementary imaging technology, coincidence imaging radar (CIR) achieves high resolution for stationary or low-speed targets under the assumption of ignoring the influence of the original position mismatching. As to high-speed moving targets moving from the original imaging cell to other imaging cells during imaging, it is inaccurate to reconstruct the target using the previous imaging plane. We focus on the recovery problem for high-speed moving targets in the CIR system based on the intrapulse frequency random modulation signal in a single pulse. The effects induced by the motion on the imaging performance are analyzed. Because the basis matrix in the CIR imaging equation is determined by the unknown velocity parameter of the moving target, both the target images and basis matrix should be estimated jointly. We propose an adaptive joint parametric estimation recovery algorithm based on the Tikhonov regularization method to update the target velocity and basis matrix adaptively and recover the target images synchronously. Finally, the target velocity and target images are obtained in an iterative manner. Simulation results are presented to demonstrate the efficiency of the proposed algorithm.

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© 2016 Society of Photo-Optical Instrumentation Engineers

Citation

Guofeng Zha ; Hongqiang Wang ; Zhaocheng Yang ; Yongqiang Cheng and Yuliang Qin
"Adaptive sparse reconstruction with joint parametric estimation for high-speed uniformly moving targets in coincidence imaging radar", J. Appl. Remote Sens. 10(2), 025009 (May 02, 2016). ; http://dx.doi.org/10.1117/1.JRS.10.025009


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