一种基于方位谱重采样的大斜视子孔径SAR成像改进Omega-K算法

doi:10.11999/JEIT141383

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Abstract

Due to the skew Region Of Support (ROS) of the two-dimensional wavenumber domain for high squint SAR data, conventional Omega-K algorithm can not exploit the ROS efficiently enough and degrades the resolution when choosing the square region to process. So a modified Omega-K algorithm is proposed in this paper to deal with the high squint SAR data for sub-aperture imaging. The maximum usage of ROS is obtained by the coordinate axis rotation. For the following azimuth dependence, the method of azimuth resampling is adopted to realize the uniform focusing. Compared with the traditional Omega-K method, the modified Omega-K algorithm is focused in azimuth wavenumber-domain because of the limitation of the azimuth sub-aperture ROS in order to avoid zero padding operation, and increase efficiency. Simulation results and raw data processing validate the effectiveness of the proposed algorithm.

Key words： SAR imaging High squint Sub-aperture Azimuth resampling Modified Omega-K algorithm

Received: 29 October 2014 Published: 02 June 2015

PACS:

TN957.52

Corresponding Authors: Huai Yuan-yuan E-mail: yhuai_edu@163.com

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	Huai Yuan-yuan
	Liang Yi
	Li Zhen-yu
	Xing Meng-dao

Cite this article:

Huai Yuan-yuan,Liang Yi,Li Zhen-yu等. Modified Omega-K Algorithm for Sub-aperture High Squint SAR Imaging Based on Azimuth Resampling[J]. JEIT, 2015, 37(7): 1743-1750.

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http://jeit.ie.ac.cn/EN/10.11999/JEIT141383 OR http://jeit.ie.ac.cn/EN/Y2015/V37/I7/1743

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