相干分布式目标一维波达方向估计方法

Approach for 1-Dimensional Direction of Arrival estimation of Coherently Distributed Sources in Noise

在相干分布式目标波达方向估计研究中，角信号分布函数一般具有共轭对称性。在角分布函数的数学形式未知，或角分布函数形式不同的信号源同时存在的情况下，本文提出了搜索极小最小特征值（噪声子空间）或极大最大特征值（信号子空间）的分布式目标一线波达方向估计方法，并分析了分布式目标波达方向估计的模糊性问题。

By using conjugate symmetric property of the angulor signal distribution, two new algorithms for DOA estimation of coherently distributed signals are proposed, without knowing the from of the distribution function The DOA can be found from l-dimensional searching for mini-minimum eigenvalues or maxi-maximum eigenvalues, based on signal subspace or noise subspace respectively. They are applicable for circumstance where coherently distributed sources with different distribution functions coexist and are not limited to uniform linear array. The ambiguity problem of DOA estimation is also considered .