无需信源数目的相干信号快速方位估计

Fast DOA Estimation of Coherent Signals without Knowing the Number of Sources

针对空间平滑MUSIC算法会降低阵列孔径且运算量较大的难题,提出了一种新算法。该算法通过对矩阵最大特征值对应的特征向量进行矢量重排,可实现不损失阵列孔径的解相干处理。再利用重构矩阵逆的高阶次幂来逼近真实的噪声子空间,可避免特征分解,降低了运算量且不需信源先验数目。计算机仿真结果证实了算法的有效性。

A novel decorrelation algorithm that can eliminate the computation without having aperture loss is pre- sented. Through vector reconstruction by eigenvector of maximum eigenvalue, the algorithm can deal with coher- ent signals. By utilizing high order power of the inverse matrix, the noise subspace can be approximate without knowing the number of signals. At the sarue time, the computation of algorithm is low because there is no eigen- decomposition. Finally, the computer simulation confirms the validity of the proposed algorithm.