多径信道下基于维纳滤波器的自适应微分干扰抵消算法的研究

The Research of Adaptive Differential Interference Cancellation Based on Wiener Filter in the Multipath Channels

针对无线电导航系统中存在的多径干扰和多址干扰,文中提出了一种基于维纳滤波器的自适应微分干扰抵消算法,自适应部分采用维纳滤波器对权值矩阵进行更新,干扰抵消部分则引入PIC算法的迭代微分量,该算法不仅消除了原有干扰抵消算法的固有累积误差,而且降低了运算复杂度。给出了算法结构及理论分析,并对算法进行了仿真,结果表明该算法与其他干扰抵消方法相比,具有误码率低,收敛性好,运算复杂度低等优点,能有效地消除多径干扰和多址干扰的影响。

To eliminate the multi-path interference and multiple access interference （MAD in radio navigation system, an adaptive differential interference cancellation based on Wiener filter is proposed. The weight matrix was updated by the Wiener filter in the adaptive part, while in the interference cancellation part the iterative differential vector was introduced. So the algorithm not only eliminates the accumulation errors inherent of the original interference cancellation algorithm, hut also reduces the computing complexity. The algorithm structure and theoretical analysis were given, and the simulation results show that the algorithm has the advantage of low hit error, good convergence and low complexity compared with other interference cancellation algorithms and can effectively eliminate the multi-path interference and MAL Thus, the proposed algorithm has high practical value.