Title :
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
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;
Conference_Titel :
Decision and Control, 2001. Proceedings of the 40th IEEE Conference on
Conference_Location :
Orlando, FL
Print_ISBN :
0-7803-7061-9
DOI :
10.1109/.2001.980344
