一种基于改进空间平滑的信源数估计算法

针对基于信息论准则信源数估计算法不适用于相关信源情况,提出了一种基于改进空间平滑的信源数估计算法。算法对子阵阵元进行新的组合,使得每个子阵阵元数和原阵阵元数相同,取每个子阵协方差矩阵的算术平均,形成一个新的阵列输出协方差矩阵,然后对该协方差矩阵利用信息论准则估计信源数。仿真分析表明,算法在相关信源存在情况下,能正确估计出信源个数,提高了阵元利用率,在低信噪比和低快拍数时,性能优于空间平滑信息论算法。

A source number estimation algorithm based on an improved spatial smoothing

As the source number estimation algorithm based on information theoretic criteria cannot adapt to the correlated source,this paper proposes a new one based on an improved spatial smoothing .The algorithm recombines the subarrays so that each subarray has the same number of elements with the original array. The study takes arithmetic mean of every subarray covariance matrix to form a new array output covariance matrix,then estimation source number with information theoretic criteria based on output covariance matrix. Simulation and analysis show that the algorithm can correctly estimate the source number in the presence of the corrected source .It can also improve the utilization rate of the array elements.The performance is better than the algorithm of information theoretic criteria based on spatial smoothing in low SNR and number of snapshots.