基于Schur-Hadamard积波束形成的相干分布式信源参数估计

Parameter estimation based on Schur-Hadamard product beamforming for coherently distributed source

对于由本地散射导致的分布式信源参数估计,根据分布式信源空间角度信号密度的共轭对称特性,将相干分布式信源的方向向量化简为点信源方向向量与实矩阵的Schur-Hadamard积,提出了一种基于Schur-Hadamard积波束形成的相干分布式信源中心波达方向和角度扩散参数估计算法。由于在约束条件中考虑了角度扩散,算法具有一定的鲁棒性,适用于角度扩散较大的场合。仿真实验表明,与MUSIC类算法DSPE相比,基于Schur-Hadamard积的波束形成参数估计算法具有更好的信噪比性能和参数估计精度,更适用于复杂的通信环境。

For estimating parameters of local scattering distributed source, according to the symmetry assumption of angular signal intensity, the steering vector is deduced to be a Schur-Hadamard product comprising the steering vector of the point source and a real matrix for coherently distributed source. And then beamforming algorithm based on Schur-Hadamard product is proposed for estimating parameters-the central direction of arrival （DOA） and angular spread. The angular spread parameter is considered in the constraint, so the proposed algorithm is robustness, and can be applied to the scenarios where angular spread is large. Simulations clearly demonstrate that the algorithm enjoys better signal-to-noise ratio performance and improved precision compared with DSPE algorithm, and is more suitable for complicated environment.