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