首页 | 本学科首页   官方微博 | 高级检索  
     

基于微增量二维谱的OMEGA-K双基SAR成像算法
引用本文:刘玉春,王俊,王海涛,陈朝焰. 基于微增量二维谱的OMEGA-K双基SAR成像算法[J]. 系统工程与电子技术, 2013, 35(2): 287-293. DOI: 10.3969/j.issn.1001-506X.2013.02.09
作者姓名:刘玉春  王俊  王海涛  陈朝焰
作者单位: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
基金项目:国家部委预研基金;国家高技术研究发展计划(863计划)(2010AAJ144)资助课题
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。

关 键 词:双基合成孔径雷达  雷达成像  微增量算法  OMEGA-K算法

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. Novel OMEGA-K algorithm for bistatic SAR imaging based on micro-increment bistatic 2-dimensional spectrum[J]. System Engineering and Electronics, 2013, 35(2): 287-293. DOI: 10.3969/j.issn.1001-506X.2013.02.09
Authors:LIU Yu-chun  WANG Jun  WANG Hai-tao  CHEN Zhao-yan
Affiliation:National Lab of Radar Signal Processing, Xidian University, Xi’an 710071, China
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.
Keywords:
本文献已被 CNKI 等数据库收录!
点击此处可从《系统工程与电子技术》浏览原始摘要信息
点击此处可从《系统工程与电子技术》下载全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号