空间非均匀噪声下应用Bootstrap技术的信源数检测  

Source Detection Based on Bootstrap Technique in Spatially Nonuniform Noise

作　　者：包晓蕾[1] 冯凯 

机构地区：[1]上海电子信息职业技术学院通信与信息工程系,上海201411 [2]哈尔滨工程大学信息与通信工程学院,黑龙江哈尔滨150001

出　　处：《安徽师范大学学报（自然科学版）》2015年第6期552-556,566,共6页Journal of Anhui Normal University(Natural Science)

基　　金：上海市教育委员会;上海市教育发展基金会"晨光计划"项目(09CGB06)

摘　　要：针对阵列系统接收数据有限且存在空间非均匀噪声的信源数估计问题,提出一种基于Bootstrap技术和空间正交性的新方法.该方法首先估计任意信号的入射角度,然后对阵列协方差矩阵进行特征分解,提出了以特征向量和阵列流型矢量内积为基础的一系列假设检验,数据分布未知,并且应用Bootstrap方法估计零假设下提出的检测统计量分布.通过仿真证明了所提方法,在低信噪比(SNR)和小快拍数的情况下有较好的性能.Considering the problem of source number estimation in the presence of unknown spatially nonuniform noise and the limitation of the received data,a new method based on the orthogonality of signal subspace and noise subspace is proposed.At first estimate the direction of an arbitrary incident source,then make eigen-decomposition of the covariance matrix.A sequential hypothesis test is formulated based on the inner product vector of eigenvector and the steering array vector.No assumption is made on the distribution of the data and the Bootstrap is used to estimate the distribution under the null of the proposed test statistics.Through the simulation it is found that the proposed method is superior to other similar algorithms in the low signal-to-noise ratio（SNR）and small snapshots.

关 键 词：信息处理技术 信源数检测 BOOTSTRAP 正交性 假设检验 

分 类 号：TN911.23[电子电信—通信与信息系统]