针对远场窄带相干信源的二维DOA估计问题,提出了一种基于垂直阵列的解相干算法,利用垂直阵列模型特性,在3个线性子阵列进行分维处理运算。在每一个维度,运用空域平滑算法构建数据协方差矩阵实现解相干,并结合ESPRIT算法分别估计信源与各线阵的夹角,利用其中一个角度来组合其他两个角度,实现参数配对。仿真实验结果显示,相较于空域平滑DOA矩阵法,算法的稳定性、估计精度都较高,适用于低信噪比和短快拍情况。
A decorrelation algorithm based on three orthogonal linear arrays is proposed for estimating two-dimensional Direction-Of-Arrival (DOA) of narrowband coherent signal sources. The proposed algorithm can realize calculation in three different dimensions according to the characteristic of three orthogonal linear arrays. The algorithm realizes decorrelation by using the spatial smoothing techniques in every dimension. Combined with ESPRIT algorithm, the angles between signal sources and every linear array can be estimated. The problem of parameter pairing is resolved by matching one angle with the other angles. The simulation results show that the proposed algorithm's stability and estimation accuracy are higher than the spatial smoothing DOA matrix method. The proposed algorithm can be applicable for low SNR and small snapshot scenarios.