Image and Signal Processing Methods

Optimal waveform-based clutter suppression algorithm for recursive synthetic aperture radar imaging systems

[+] Author Affiliations
Binqi Zhu, Yesheng Gao, Kaizhi Wang, Xingzhao Liu

Shanghai Jiao Tong University, School of Electronic Information and Electrical Engineering, Shanghai 200240, China

J. Appl. Remote Sens. 10(2), 025017 (Jun 01, 2016). doi:10.1117/1.JRS.10.025017
History: Received December 3, 2015; Accepted May 5, 2016
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Abstract.  A computational method for suppressing clutter and generating clear microwave images of targets is proposed in this paper, which combines synthetic aperture radar (SAR) principles with recursive method and waveform design theory, and it is suitable for SAR for special applications. The nonlinear recursive model is introduced into the SAR operation principle, and the cubature Kalman filter algorithm is used to estimate target and clutter responses in each azimuth position based on their previous states, which are both assumed to be Gaussian distributions. NP criteria-based optimal waveforms are designed repeatedly as the sensor flies along its azimuth path and are used as the transmitting signals. A clutter suppression filter is then designed and added to suppress the clutter response while maintaining most of the target response. Thus, with fewer disturbances from the clutter response, we can generate the SAR image with traditional azimuth matched filters. Our simulations show that the clutter suppression filter significantly reduces the clutter response, and our algorithm greatly improves the SINR of the SAR image based on different clutter suppression filter parameters. As such, this algorithm may be preferable for special target imaging when prior information on the target is available.

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© 2016 Society of Photo-Optical Instrumentation Engineers

Citation

Binqi Zhu ; Yesheng Gao ; Kaizhi Wang and Xingzhao Liu
"Optimal waveform-based clutter suppression algorithm for recursive synthetic aperture radar imaging systems", J. Appl. Remote Sens. 10(2), 025017 (Jun 01, 2016). ; http://dx.doi.org/10.1117/1.JRS.10.025017


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