Focusing high-squint and large-baseline one-stationary bistatic SAR data using keystone transform and enhanced nonlinear chirp scaling based on an ellipse model

EURASIP Journal on Advances in Signal Processing

Minhong Sun¹  Jian Hu¹  Hua Zhong¹  Song Zhang¹ 

[1] School of Communication Engineering, Hangzhou Dianzi University;

关键词: Bistatic synthetic aperture radar (BiSAR);    One-stationary;    Azimuth-variant;    Keystone-transform (KT);    Ellipse model;    Nonlinear chirp scaling (NLCS);   

DOI  :  10.1186/s13634-017-0470-3

来源: DOAJ

【 摘 要 】

Abstract This paper deals with the imaging problem for one-stationary bistatic synthetic aperture radar (BiSAR) with high-squint, large-baseline configuration. In this bistatic configuration, accurate focusing of BiSAR data is a difficult issue due to the relatively large range cell migration (RCM), severe range-azimuth coupling, and inherent azimuth-geometric variance. To circumvent these issues, an enhanced azimuth nonlinear chirp scaling (NLCS) algorithm based on an ellipse model is investigated in this paper. In the range processing, a method combining deramp operation and keystone transform (KT) is adopted to remove linear RCM completely and mitigate range-azimuth cross-coupling. In the azimuth focusing, an ellipse model is established to analyze and depict the characteristic of azimuth-variant Doppler phase. Based on the new model, an enhanced azimuth NLCS algorithm is derived to focus one-stationary BiSAR data. Simulating results exhibited at the end of this paper validate the effectiveness of the proposed algorithm.

【 授权许可】

Unknown