基于扩展方位NLCS的斜视TOPSAR成像算法

doi:10.11999/JEIT160933

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Abstract

In the squint Terrain Observation by Progressive scabs (TOPSAR) mode, the different azimuth scatters have different Doppler center frequencies, which causes azimuth under-sampling problem and increase the coupling between range and azimuth. Considering at the characteristics of squint TOPSAR echo, this article proposes a new full aperture imaging algorithm: first, the azimuth signal aliasing is removed by introducing the nonlinear walk correction; second, the nonlinear chirp scaling algorithm for azimuth focusing is applied to compensating the Doppler modulation rate; finally, the image geometric distortion is eliminated by 2-D chirp scaling operation. Compared with the traditional algorithm, the proposed algorithm avoids the interpolation under the case of extending a small amount of data, hence the calculation needed is less. The simulation results prove the effectiveness of the algorithm.

Key words： Squint TOPSAR Non-linear chirp scaling Chirp scaling Image geometric distortion

Received: 19 September 2016 Published: 13 December 2016

PACS:

TN957.72

Fund:

The National Natural Science Foundation of China (61301216)

Corresponding Authors: ZHAO Huichang E-mail: zhaohch353@163.com

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	JIANG Huai
	ZHAO Huichang
	HAN Min
	ZHANG Shuning

Cite this article:

JIANG Huai,ZHAO Huichang,HAN Min等. A Squint TOPSAR Imaging Algorithm Based on Extend Azimuth Non-linear Chirp Scaling[J]. JEIT, 2017, 39(7): 1606-1611.

URL:

http://jeit.ie.ac.cn/EN/10.11999/JEIT160933 OR http://jeit.ie.ac.cn/EN/Y2017/V39/I7/1606

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