一种基于多级维纳滤波的改进空时抗干扰算法  

Improved GPS Anti-jam Space-Time Adaptive Algorithm Based on MSNWF

作　　者：杨阳[1] 文晓聪[1] 李立欣[1] 张会生[1] 

机构地区：[1]西北工业大学电子信息学院,西安710072

出　　处：《计算机系统应用》2014年第1期78-85,13,共9页Computer Systems & Applications

基　　金：陕西省自然科学基金(2012JQ8025)

摘　　要：传统的空时自适应处理(STAP)算法不仅计算量大,而且不能抑制与导航信号来自同一方向的窄带干扰.针对此问题,提出了一种改进的STAP抗干扰算法,将时频域结合的IIR格型陷波器与改进MSNWF的功率倒置算法相结合,通过IIR格型陷波器预测并抑制窄带干扰,通过改进MSNWF抑制宽带干扰并实现降维处理.这种新的算法不仅能更有效地抑制窄带和宽带干扰,而且提升了计算速度和输出信干噪比(SINR).Traditional space-time adaptive processing （STAP） algorithm does not only have a big computation, but also cannot suppress the multiple narrowband jammer and the narrowband jammer which come from the same direction with the useful signal. To deal with these problems, an improved GPS anti-jam multistage nested Wiener filter （MSNWF） method which combines with multistage IIR lattice notch filter is proposed. The narrow-band jammer can be forecast and suppressed by using IIR lattice notch filter. The amount of computation can be reduced by using the improved MSNWF. The new method which can not only suppress both narrowband and broadband jammer effectively, but also improve the computation speed and SINR.

关 键 词：GPS抗干扰 空时自适应处理 多级维纳滤波器 陷波滤波器 

分 类 号：TN973[电子电信—信号与信息处理]