Journal of Systems Engineering and Electronics ›› 2013, Vol. 35 ›› Issue (2): 287-293.doi: 10.3969/j.issn.1001-506X.2013.02.09

• 传感器与信号处理 • 上一篇    下一篇

基于微增量二维谱的OMEGA-K双基SAR成像算法

刘玉春, 王俊, 王海涛, 陈朝焰   

  1. 西安电子科技大学雷达信号处理国家重点实验室, 陕西 西安 710071
  • 出版日期:2013-02-08 发布日期:2010-01-03

Novel OMEGA-K algorithm for bistatic SAR imaging based on micro-increment bistatic 2-dimensional spectrum

LIU Yu-chun, WANG Jun,WANG Hai-tao, CHEN Zhao-yan   

  1. National Lab of Radar Signal Processing, Xidian University, Xi’an 710071, China
  • Online:2013-02-08 Published:2010-01-03

摘要:

结合OMEGA-K算法和微增量双基二维谱算法实现双基合成孔径雷达成像。使用微增量算法获取斜距历程低阶泰勒展开驻相点,通过求解此驻相点与斜距历程高阶泰勒展开驻相点之间的微增量,来获取高阶展开驻相点的近似解,并以此为基础得到二维谱。应用角度不变假设,通过对此二维谱的数学分析和适当处理,使之可以应用于OMEGA-K算法中,实现双基聚焦成像,并对不变区域大小进行分析。仿真实验处理结果验证了所提算法的有效性和正确性。

Abstract:

The bistatic synthetic aperture radar (SAR) imaging is implemented by combining OMEGA-K with microincrement bistatic spectrum algorithm. The micro-increment algorithm can estimate the point of stationary phase when the range history is a Taylor expansion with low order. By computing the microincrement between the obtained point of stationary phase and its counterpart when the range history is a Taylor expansion with high order, the highorder point of stationary phase can be estimated approximately. Using the obtained highorder point of stationary phase, the two dimensional spectrum can be obtained. By some mathematical transformations, the obtained spectrum can be applied to the OMEGA-K imaging algorithm to focus bistatic SAR data.The invariance region is also analyzed. The simulation results are provided to demonstrate the effectiveness of the proposed algorithm.