色噪声环境下强相关源的DOA估计

DOA Estimation for Highly Correlated Signals under Colored Noise Environment

摘要: 结合MMUSIC（Modified multiple Signal Classfication)算法和SWEDE（Subsapce Method Without Eigen DE composition)方法的优点提出了联合DOA估计方法，该法使得在色噪声环境下强相关信源DOA（Direction Of Arrival)估计成为可能。理论分析与仿真结果表明：联合DOA估计方法在明显降低运算复杂度的同时，无需空间噪声必须为白噪声的约束，更加贴近现实情况，而且有利于在线处理。

Abstract: A new method called allied DOA estimation in which MMUSIC and SWEDE algorithm are jointly used is proposed in this paper. This algorithm makes it possible to estimate DOA of the highly correlated sources under colored noise environment.Theoretical analysis and simulation results show that the allied DOA estimation algorithm can greatly reduce the computation complexity, while no restriction to spatial white noise is needed. This is much closed to the reality and more suitable for on line processing.