Time delay estimation of Gaussian signal in non-Gaussian spatially correlated noise

被引：0

作者：

Tang, GH ^{[1
]}

Chen, Q ^{[1
]}

Liu, GS ^{[1
]}

机构：

[1] Nanjing Univ Sci & Technol, Dept Elect Engn, Nanjing 210094, Peoples R China

来源：

PROCEEDINGS OF 2003 INTERNATIONAL CONFERENCE ON NEURAL NETWORKS & SIGNAL PROCESSING, PROCEEDINGS, VOLS 1 AND 2 | 2003年

关键词：

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper a new hybrid approach for solving the time delay estimation of Gaussian signal in the presence of unknown non-Gaussian spatially correlated noise has been proposed. First, the fourth-order statistics of the measurements, thus those of the non-Gaussian noise are estimated; then the second-order statistics of the noise are computed by statistics projection. Finally, cross-correlation based approaches are used to estimate time delay parameter The results of the simulation example show that this paper's method has superiority.

引用

页码：639 / 642

页数：4

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