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Open AccessArticle

Generalized Nonlinear Chirp Scaling Algorithm for High-Resolution Highly Squint SAR Imaging

1
School of Electronic Science and Engineering, National University of Defense Technology, Sanyi Avenue, Changsha 410073, China
2
China Electronics Technology Group Corporation (CETC), China Academy of Electronics and Information Technology, Beijing 100846, China
*
Author to whom correspondence should be addressed.
Sensors 2017, 17(11), 2568; https://doi.org/10.3390/s17112568
Received: 14 September 2017 / Revised: 28 October 2017 / Accepted: 2 November 2017 / Published: 7 November 2017
(This article belongs to the Section Remote Sensors, Control, and Telemetry)
This paper presents a modified approach for high-resolution, highly squint synthetic aperture radar (SAR) data processing. Several nonlinear chirp scaling (NLCS) algorithms have been proposed to solve the azimuth variance of the frequency modulation rates that are caused by the linear range walk correction (LRWC). However, the azimuth depth of focusing (ADOF) is not handled well by these algorithms. The generalized nonlinear chirp scaling (GNLCS) algorithm that is proposed in this paper uses the method of series reverse (MSR) to improve the ADOF and focusing precision. It also introduces a high order processing kernel to avoid the range block processing. Simulation results show that the GNLCS algorithm can enlarge the ADOF and focusing precision for high-resolution highly squint SAR data. View Full-Text
Keywords: synthetic aperture radar (SAR); linear range walk correction (LRWC); generalized nonlinear chirp scaling (GNLCS); azimuth depth of focusing (ADOF); focusing precision synthetic aperture radar (SAR); linear range walk correction (LRWC); generalized nonlinear chirp scaling (GNLCS); azimuth depth of focusing (ADOF); focusing precision
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Yi, T.; He, Z.; He, F.; Dong, Z.; Wu, M. Generalized Nonlinear Chirp Scaling Algorithm for High-Resolution Highly Squint SAR Imaging. Sensors 2017, 17, 2568.

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