A New Generalized Khatri-Rao Products Approach for Correlated Source Number Estimation

被引：0

作者：

Wang, Jing ^{[1
]}

Ji, Fei ^{[1
]}

Chen, Fangjiong ^{[1
]}

Yu, Hua ^{[1
]}

Li, Qiang ^{[1
]}

机构：

[1] South China Univ Technol, Sch Elect & Informat Engn, Guangzhou, Guangdong, Peoples R China

来源：

2017 IEEE 86TH VEHICULAR TECHNOLOGY CONFERENCE (VTC-FALL) | 2017年

关键词：

source number estimation; generalized Khatri-Rao products; correlated sources; colored noise; COHERENT SIGNALS; DOA ESTIMATION; ALGORITHM; NOISE;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

In order to solve the problem of correlated source number estimation under noisy background, a generalized Khatri-Rao products approach based on Gerschgorin radii is proposed in this paper. Generalized Khatri-Rao products of the received data are computed by weighted summation of the rows of Khatri-Rao product of received data on a uniform linear array, and its element sequence is readjusted. The reconstruction of generalized Khatri-Rao product works like spatial smoothing technique. By exploring the second-order statistical property of the generalized Khatri-Rao products auto correlation matrix, a correlated source detection criterion based on Gerschgorin radii is deduced. Simulation results validate the efficiency and robustness of the proposed method.

引用

页数：5

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