一种基于改进空间平滑的信源数估计算法  

A Source Number Estimation Algorithm Based on an Improved Spatial Smoothing

作　　者：张冉[1] 夏厚培[2] 

机构地区：[1]南京信息工程大学电子与信息工程学院,南京210044 [2]中国船舶重工集团第七二四研究所,南京210003

出　　处：《科学技术与工程》2014年第27期233-236,共4页Science Technology and Engineering

摘　　要：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。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.

关 键 词：信源数估计 信息论准则 相关信源 空间平滑算法 

分 类 号：TN911[电子电信—通信与信息系统]