Cumulant-Based JAFE Algorithm in Spatially and Temporally Correlated Gaussian Noise

被引：0
|
作者：
Yi, Huiyue [1 ]
Hu, Honglin [1 ]
Zhou, Zhigang [1 ]
Zhang, Xiaodong [1 ]
机构：
[1] SHRCWC, Shanghai, Peoples R China
来源：
GLOBECOM 2006 - 2006 IEEE GLOBAL TELECOMMUNICATIONS CONFERENCE | 2006年
关键词：
joint angle-frequency estimation; cumulant; spatio-temporal data matrix; correlated 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：
A cumulant-based joint angle-frequency estimation (CB-JAFE) algorithm for angle-frequency parameter estimation of independent nonGaussian sources is proposed. The proposed CB-JAFE algorithm, which utilizes the fourth-order cumulants of the spatio-temporal data, can effectively suppress the spatially and temporally correlated Gaussian noise with unknown correlation structure. Simulation results are carried out to demonstrate the effectiveness of the proposed algorithm compared with the JAFE algorithm.
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页数：5
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