一种均匀线阵的信号分离方法研究

为了进一步改善阵列信号处理中盲源分离算法的分离性能,本文提出了一种基于DOA估计的阵列信号分离方法。该方法的基本思想是利用MUSIC算法实现对阵列信号DOA的预先估计,构建一预估计方向加载矩阵W,使加载后的混合信号在该预估计DOA上的信号能量最大化,最后利用传统的盲源分离算法分离接收到的混合信号,得到原始信号波形。仿真结果表明,该方法分离效果优于直接的盲分离算法,原始信号与分离信号相关系数接近于1,但同时牺牲较大运算量。

Research on the Signals Separation Method of the Uniform Linear Array

To improve the separation performance of the blind separation algorithm in array signal processing,a new research on the signals separation method of the uniform linear array is proposed in this paper.The basic idea of the algorithm is the original signal DOA being estimated by the algorithm of MUSIC and then a loading matrix W based on the estimated DOA being created to get the large energy of the mixing signals in the estimated DOA. At last,the mixing signals are separated by the traditional blind source separation algorithms and the original signals are got. Simulations show that the performance of proposed method is better than these of the traditional blind source separation algorithms,the related coefficient between the natural signals and the separated signals approaches to 1,but the computational complexity is increased greatly.