Complex ambiguity function based on fourth-order statistics for joint estimation of frequency-delay and time-delay of arrival

Author

Shin, Dae C. ; Nikias, Chrysostomos L.

Author_Institution

Dept. of Electr. Eng.-Syst., Univ. of Southern California, Los Angeles, CA, USA

fYear

1993

fDate

1-3 Nov 1993

Firstpage

461

Abstract

The complex ambiguity function based on second-order statistics (CAF-SOS) has been used to simultaneously estimate the frequency-delay of arrival (FDOA) and time-delay of arrival (TDOA) between two signal measurements. But, its performance is sensitive do the effect due to the cross-correlation between noise sources. We develop the complex ambiguity function based on fourth-order statistics (CAF-FOS) to suppress the Gaussian noise-correlation effect. We also suggest a non-stationary estimate of the fourth-order cross-cumulants for implementing the CAF-FOS algorithm. Through simulations, we show that the CAF-FOS method can suppress the effect of spatially correlated Gaussian noise sources and produce good joint estimates of the PDOA/TDOA

Keywords

Gaussian noise; delays; frequency estimation; higher order statistics; signal processing; Gaussian noise suppression; Gaussian noise-correlation effect; complex ambiguity function; cross-correlation; fourth-order cross-cumulants; fourth-order statistics; frequency-delay of arrival estimation; noise sources; nonstationary estimate; signal measurements; simulations; time-delay of arrival estimation; Electric variables measurement; Frequency estimation; Frequency measurement; Gaussian noise; Higher order statistics; Image processing; Noise measurement; Signal processing; Sonar applications; Sonar measurements; Statistics;

fLanguage

English

Publisher

ieee

Conference_Titel

Signals, Systems and Computers, 1993. 1993 Conference Record of The Twenty-Seventh Asilomar Conference on

Conference_Location

Pacific Grove, CA

ISSN

1058-6393

Print_ISBN

0-8186-4120-7

Type

conf

DOI

10.1109/ACSSC.1993.342556

Filename

342556