摘要
针对卫星导航抗干扰中传统的空时自适应处理算法运算量大、处理速度较慢的问题,在介绍多级维纳滤波基本原理的基础上,提出了一种多路并行的盲搜索空时二维抗干扰自适应处理算法。该方法采用多级维纳滤波降维处理的方法求解信号子空间和干扰子空间,从而使输出信号的信干噪比达到最优,实现干扰的有效抑制。仿真结果表明,该算法具有较好的抗干扰性能,且运算量较低,有较好的工程应用前景。
In satellite navigation anti-interference, the traditional space-time adaptation processing algorithm has such defects as heavy computation and low processing speed.Based on analyzing the principle of muhi-stage wiener filtering,this paper puts forward a space-time two-dimensional adaptive processing algorithm of multi-channel parallel blind search.This algorithm uses the dimension reducing processing of multi-stage Wiener filter to solve the interference subspaee and signal subspace so as to make the output SINR optimal and realize effective interference suppression.The simulation results show that this algorithm has better anti-interference performance,with low computation and a good application prospects.
出处
《无线电工程》
2016年第5期29-32,共4页
Radio Engineering
基金
国家高技术研究发展计划("863"计划)基金资助项目(2012AA121801)
关键词
空时自适应
多级维纳滤波
盲搜索
干扰抑制
space-time adaptation
muhistage Wiener filtering
blind search
interference suppression
