一种俯冲段子孔径SAR大斜视成像及几何校正方法

doi:10.11999/JEIT141516

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Abstract

The ordinary full-aperture SAR imaging algorithms are inapplicable to focus high squint diving SAR subaperture data due to its property of vertical velocity which brings variance in azimuth. Based on the equivalent squint model and the characteristic of subaperture imaging, this paper explores a Frequency Phase Filtering Algorithm (FPFA) to implement high squint SAR subaperture data focusing. The innovative idea is the introduced filtering phase in the azimuth frequency domain in order to eliminate the azimuth dependence. Finally, the equivalent squint model causes the geometric deformation; due to this issue, a modified inverse-projection method corresponding to FPFA is proposed to get the final image without deformation. The simulation results and raw data processing validate the effectiveness of the proposed method.

Key words： Diving SAR Subaperture Frequency Phase Filtering Algorithm (FPFA) Inverse-projection Geometric correction

Received: 27 November 2014 Published: 09 June 2015

PACS:

TN957.52

Corresponding Authors: Li Zhen-yu E-mail: zhenyuli_2012@sina.com

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	Li Zhen-yu
	Liang Yi
	Xing Meng-dao
	Bao Zheng

Cite this article:

Li Zhen-yu,Liang Yi,Xing Meng-dao等. New Subaperture Imaging Algorithm and Geometric Correction Method for High Squint Diving SAR Based on Equivalent Squint Model[J]. JEIT, 2015, 37(8): 1814-1820.

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http://jeit.ie.ac.cn/EN/10.11999/JEIT141516 OR http://jeit.ie.ac.cn/EN/Y2015/V37/I8/1814

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