Multipath time delay estimation with unknown spatially correlated noise and multiple access interference using cyclic statistics

Author

Ying, Liu ; Shuxun, Wang ; Yingchang, Liang ; Zhongxia, Li

Author_Institution

Dept. of Commun. Eng., Jilin Univ., Changchun, China

Volume

4

fYear

2001

fDate

2001

Firstpage

3338

Abstract

Multipath time delay estimation based on cyclic correlation parametric approach is proposed in this paper. Multipath time delays are estimated precisely, and non-stationary multiple access interference and spatially correlated noises can be suppressed effectively by the use of this new approach. This approach has better performance than the time delay estimation based on correlation and the higher-order cumulants approaches. The relative conclusion are given and verified by the simulation experiments

Keywords

delay estimation; interference suppression; parameter estimation; signal processing; cyclic correlation; cyclic statistics; multipath time delay estimation; multiple access interference; spatially correlated noise; Delay effects; Delay estimation; Frequency estimation; Gaussian noise; Interference suppression; Land mobile radio cellular systems; Mobile communication; Multiple access interference; Parametric statistics; Wireless communication;

fLanguage

English

Publisher

ieee

Conference_Titel

Decision and Control, 2001. Proceedings of the 40th IEEE Conference on

Conference_Location

Orlando, FL

Print_ISBN

0-7803-7061-9

Type

conf

DOI

10.1109/.2001.980344

Filename

980344