DocumentCode :
3089957
Title :
Multipath time delay estimation using higher order statistics
Author :
Liang, Ying-Chang ; Leyman, A. Rahim ; Soong, Boon-Hee
Author_Institution :
Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ., Singapore
fYear :
1997
fDate :
21-23 Jul 1997
Firstpage :
9
Lastpage :
13
Abstract :
This paper addresses the problem of time delay estimation (TDE) in spatially correlated noises. Two cases are considered: (i) TDE of non-Gaussian signal in spatially correlated Gaussian noises; and (ii) TDE of Gaussian signal in spatially correlated non-Gaussian noises. For the first case, a new approach based upon the use of higher order statistics of the measurements is proposed; for the second case, a hybrid approach by using higher and second order statistics of the measurements is suggested. Simulation examples are presented to illustrate the effectiveness of these approaches
Keywords :
Gaussian noise; array signal processing; correlation theory; delays; estimation theory; higher order statistics; higher order statistics; multipath time delay estimation; nonGaussian signal; second order statistics; simulation; spatially correlated Gaussian noises; spatially correlated noises; spatially correlated nonGaussian noises; Biomedical measurements; Biosensors; Delay effects; Delay estimation; Equations; Gaussian noise; Geophysical measurements; Higher order statistics; Radar applications; Signal processing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Higher-Order Statistics, 1997., Proceedings of the IEEE Signal Processing Workshop on
Conference_Location :
Banff, Alta.
Print_ISBN :
0-8186-8005-9
Type :
conf
DOI :
10.1109/HOST.1997.613477
Filename :
613477
Link To Document :
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