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Remote Sens. 2016, 8(10), 840; doi:10.3390/rs8100840

Focusing Translational Variant Bistatic Forward-Looking SAR Using Keystone Transform and Extended Nonlinear Chirp Scaling

School of Electronic Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China
These authors contributed equally to this work.
Current address: School of Electronic Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China
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Author to whom correspondence should be addressed.
Academic Editors: Nicolas Baghdadi and Prasad S. Thenkabail
Received: 21 April 2016 / Revised: 1 September 2016 / Accepted: 4 October 2016 / Published: 13 October 2016
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Abstract

Bistatic Synthetic Aperture Radar (SAR) has attracted increasing attention in recent years due to its unique advantages, such as the ability of forward-looking imaging. In translational variant bistatic forward-looking SAR (TV-BFSAR), it is difficult to get a well focused image due to large range cell migration (RCM) and 2-D variation of both Doppler characteristics and RCM. In this paper, an extended azimuth nonlinear chirp scaling (NLCS) algorithm is proposed to deal with these problems. Firstly, Keystone Transform (KT) is introduced to remove the spatial-variant linear RCM, which is of great significance in TV-BFSAR. Secondly, a correction factor is multiplied to the signal in range frequency domain to compensate for the residual RCM. At last, a fourth-order filtering together with azimuth NLCS is performed in every range gate to equalize both the azimuth-variant Doppler centroid and frequency modulation rate based on the azimuth numerical fitting. The proposed method is verified by simulation and real data processing. Multiple targets are generated and focused by the method, of which the peak sidelobe ratio (PSLR) is around −13 dB and integrated sidelobe ratio (ISLR) is around −10 dB. The method is accurate and can achieve high-resolution focusing for TV-BFSAR data. View Full-Text
Keywords: bistatic forward-looking synthetic aperture radar; two-dimensional spatial variation; keystone transform; extended nonlinear chirp scaling bistatic forward-looking synthetic aperture radar; two-dimensional spatial variation; keystone transform; extended nonlinear chirp scaling
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Wu, J.; Sun, Z.; Li, Z.; Huang, Y.; Yang, J.; Liu, Z. Focusing Translational Variant Bistatic Forward-Looking SAR Using Keystone Transform and Extended Nonlinear Chirp Scaling. Remote Sens. 2016, 8, 840.

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