基于偶数阶累积量的非圆信号测向方法

Direction Finding Algorithms for Noncircular Signals Based on Even Order Cumulants

提出了基于2q阶累积量的非圆信号测向MUSIC(Multiple Signal Classification)算法(称为NC-2q-MUSIC),作为2q-MUSIC算法利用非圆信息的一种扩展,在可测向信号数、分辨力和测角精度等方面的性能均优于2q-MUSIC算法.并且,q越大,NC-2q-MUSIC算法的可测向信号数越大,分辨力越高,对模型误差也越不敏感.针对均布线阵(ULA:Uniform Linear Array)提出的NC-2q-MUSIC/ULA算法减小了计算量.仿真实验验证了NC-2q-MUSIC算法的优良性能.

The NC-2q-MUSIC（Multiple Signal Classification）algorithm,which is an extension of the 2q-MUSIC algorithm to noncircular（NC ）applications, is proposed. The performance of NC-2 q-MUSIC algorithm for noncircular signals is better than 2q- MUSIC algorithm due to the utilization of noncircular information of signals. The resolution and robustness to modeling errors of NC-2q-MUSIC algorithm become better with the increase of q. The computational complexity of the NC-2q-MUSIC algorithm is analyzed and the NC-2 q-MUSIC algorithm for uniform linear array（ULA）, needs much less computation is also proposed. Simulation results show the better performance of NC-2q-MUSIC algorithm over 2q-MUSIC and validate other conclusions about NC-2q- MUSIC.