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Sensors 2017, 17(5), 1152; doi:10.3390/s17051152

An Improved RD Algorithm for Maneuvering Bistatic Forward-Looking SAR Imaging with a Fixed Transmitter

School of Electronic & Optical Engineering, Nanjing University of Science & Technology, Nanjing 210094, China
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Academic Editor: Jonathan Li
Received: 13 April 2017 / Revised: 13 May 2017 / Accepted: 15 May 2017 / Published: 19 May 2017
(This article belongs to the Section Remote Sensors)
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Abstract

In order to improve the azimuth resolution beyond what monostatic synthetic aperture radar (SAR) can achieve in the forward-looking area, an asymmetric configuration bistatic SAR system and its imaging algorithm are proposed in this paper. The transmitter is mounted on a fixed platform in side-looking mode while the receiver moves along a nonlinear trajectory in forward-looking mode. Due to the high velocity and acceleration of the maneuvering platform in both along-track and height direction, the traditional algorithms are no longer applicable. In this paper, a new algorithm based on the high precise 2-D frequency spectrum is proposed, which takes high-order Taylor series expansion terms of the slant range into consideration. The proposed algorithm compensates high-order range-azimuth coupling terms to guarantee the focus accuracy in SAR imaging. The simulation results and error analysis validate the effectiveness of the proposed algorithm and the correctness of our analysis. View Full-Text
Keywords: 2-D frequency spectrum; method of series reversion (MSR); SAR imaging; bistatic forward-looking SAR (BFL-SAR) 2-D frequency spectrum; method of series reversion (MSR); SAR imaging; bistatic forward-looking SAR (BFL-SAR)
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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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Yuan, Y.; Chen, S.; Zhao, H. An Improved RD Algorithm for Maneuvering Bistatic Forward-Looking SAR Imaging with a Fixed Transmitter. Sensors 2017, 17, 1152.

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