均匀圆阵主特征矢量分析解相干算法

为解决均匀圆阵的相干信源波达方向估计问题,提出一种适用于均匀圆阵的虚拟均匀线阵主特征矢量分析算法。采用模式空间变换将均匀圆阵转换为虚拟均匀线阵,对其数据协方差矩阵进行处理以构造主特征矢量矩阵;引入加权最小二乘法,通过重复迭代得到子空间各元素之间的线性预测系数,从而求得相干信源的波达方向估计值。理论分析和仿真结果表明,该算法对相干信源具有较好的估计精度,且具备高分辨率和低复杂度的优点。

Uniform circular array decoherence algorithm based on principal eigenvector analysis

To solve the problem of coherent signals DOA(direction-of-arrival) based on the uniform circular array, a new VLPEA(virtual uniform linear array principal eigenvector analysis) algorithm was proposed. The uniform circular array was transformed into the virtual uniform linear array in space model by mode excitation, and the principal eigenvector matrix was obtained by data covariance matrix; the weighted least square method was introduced to get the linear prediction coefficient between each element in subspace matrix and to acquire estimation of DOA of coherent signals. Theoretical analysis and simulation results show that the proposed algorithm has good estimation accuracy, high resolution and low complexity.