基于Schur-Hadamard积波束域传播因子的分布式信源参数联合估计

针对分布式信源阵元域参数估计算法在低信噪比时性能下降、计算量大的问题,提出了基于Schur-Hadamard积波束域传播因子的分布式信源参数联合估计算法.根据角度信号密度对称的约束条件,将分布式信源方向向量化简为点信源方向向赶与实矩阵的Sehur-Hadamard积,使其两个子矩阵满足传播因子的线性变换,进而将波束域传播因子方法用于分布式信源参数联合估计,降低了计算量.仿真实验验证了所提算法的有效性,与阵元域DSPE算法相比,基于Schur-Had-amard积的波束域传播因子算法具有更好的信噪比性能.

Beamspace Propagator Method Based on Schur-Hadamard Product for Joint Parameter Estimation of Coherently Distributed Source

In an effect to tackle the problem of the performance deteriorates at low SNR and the high computational complexity in- duced by sensor array processing,beamspace propagator method based on Schur-Hadamard product for joint parameter estimation of co- herently distributed source is proposed.According to the symmetry assumption of angular signal intensity,the steering vector is exposed as Schur-Hadamard product by the point source steering vector and a real matrix.And then the partition of the steering vector of the dis- tributed source can be deduced as linear operator of the propagator.So beamspace propagator method is proposed to estimate the parame- ters jointly with reduced complexity cost.Specifically,it is shown from simulation results that the proposed algorithm has better SNR per- formance compared with DSPE algorithm.