基于盲源分离的自适应抗干扰算法研究

Adaptive anti-jamming algorithm based on blind source separation

在卫星导航系统遇到的干扰中,一般分为压制式干扰和转发式干扰。压制式干扰远大于卫星信号,采用功率倒置算法就可以形成所需的零陷;转发式干扰的信号强度可以与卫星信号相比拟,要在干扰位置处形成零陷存在一系列困难。在干扰信号与有用信号相比拟的情况下,提出将快速独立分量分析算法(fast independent component analysis,FastICA)结合自适应抗干扰算法对干扰进行抑制,自适应算法采用波达方向估计(DOA)算法及基于DOA的波束形成算法,该方法能在干扰与有用信号比拟的情况下,对干扰进行有效抑制,计算机仿真结果也证明了该方法的有效性。为导航系统中有效抑制弱干扰提供了一种新思路。

Generally, there are suppress jamming and forward jamming in the satel- lite navigation system. Since suppress jamming is much stronger than the satellite signal, using the power inversion algorithm can form the required nulling. Because the strength of forward jamming can be compared with the satellite signals, there are a series of difficulties in forming nulling of interference. The paper studies the situation when the useful signal and jamming signal power are almost the same, and employs fast independent component algorithm （FastICA）combining with direction of arrival（DOA）and beam-forming algorithm to control the interference. With the simulation result, we confirm the feasibility of the proposed method which brings a new thinking to the anti-iammin~ weak ~i^nnT~