基于空时降维处理的高动态零陷加宽算法  

A High-dynamic Null-widen Algorithm Based on Reduceddimension Space-time Adaptive Processing

作　　者：卢丹[1] 葛璐[1] 王文益[1] 王璐[1] 贾琼琼[1] 吴仁彪[1] 

机构地区：[1]中国民航大学天津市智能信号与图像处理重点实验室,天津300300

出　　处：《电子与信息学报》2016年第1期216-221,共6页Journal of Electronics & Information Technology

基　　金：国家自然科学基金(61172112;61271404;61471363);中央高校基本科研业务费(3122014D003)~~

摘　　要：空时自适应处理是卫星导航抗干扰的有效方法。但在高动态环境下,干扰来向动态变化,干扰很容易移出常规自适应抗干扰算法所形成的窄零陷,导致算法失效。常用的解决办法是加宽零陷。该文从干扰来向变化的统计模型出发,提出一种基于拉普拉斯分布的空时加宽零陷算法,该算法能在干扰方向形成较宽的零陷。并且考虑到空时处理将增加算法的计算复杂度,该文将新的空时加宽零陷算法与多级维纳滤波器相结合,给出一种基于空时降维处理的加宽零陷算法。新算法能有效降低算法复杂度,并能在小快拍下得到更好的性能。仿真结果表明新算法的有效性。Space-Time Adaptive Processing（STAP） is effective to suppress wideband jammers in satellite navigation system. But in high-dynamic environment, the conventional STAP anti-jamming algorithms are invalid since jammers may easily move out of the array pattern null so that it can not be suppressed. In this paper, a new method of STAP null-widen is deduced based on Laplace distribution model of the changing interference DOA in high-dynamic environment. This method can broaden the width of nulls. But because of using of STAP, the amount of computation is increased significantly, a STAP null-widen method based on reduced-dimension Multistage Wiener Filters（MWF） is given in this paper. The effectiveness of the new method is proved in simulation part.

关 键 词：全球卫星导航系统 高动态 空时自适应处理 降维处理 

分 类 号：TN967.1[电子电信—信号与信息处理]