基于L阵的分布式信源二维波达方向估计算法

Estimation Algorithm of Two-Dimensional Direction of Arrival Based on L-shape Array of Distributed Source

研究了将相干分布式信源积分形式的方向向量化简为点信源方向向量与实向量的Schur-Hadamard积的方法,提出了一种基于L阵的相干分布式信源二维波达方向分离估计算法.利用阵列结构的特点首先估计仰角,然后构造基于Schur-Hadamard积的二阶统计量估计方位角,所利用的二阶统计量对噪声不敏感,具有较好的信噪比性能.该算法将二维波达方向联合估计简化为两步一维估计,有效降低了计算量.仿真实验验证了所提算法的有效性.

To estimate the 2D DOA（direction of arrival） of local scattered signals, a novel algorithm is suggested on the basis of L-shape array of coherently distributed source by way of reducing the steering vectors from coherently distributed source in form of integral to the Schur-Hadamard product of the steering vector from point source and real vector. Then, taking advantage of the array configuration to estimate the elevation angle, the azimuth angle is estimated using the second-order statistics based on Schur-Hadamard product. But the proposed second-order statistics is insensitive to white noise, so the SNR performance is improved. By the new algorithm the 2D-DOF joint operation is reduced to a two-step one-dimensional estimation problem, so as to reduce efficiently the computation. Simulation test shows its validity.