Frequency-delay of arrival (FDOA) estimation using fourth-order statistics in spatially correlated Gaussian noises

Author

Shin, Dae C. ; Nikias, Chrysostomos L.

Author_Institution

Signal & Image Process. Inst., Univ. of Southern California, Los Angeles, CA, USA

fYear

1993

fDate

1-3 Nov 1993

Firstpage

1138

Abstract

Presents a new family of non-parametric and parametric estimation methods for the frequency delay of arrival (FDOA) between two sensor signal measurements. The new family of FDOA estimation methods utilizes the fourth-order cumulants or trispectra of the two measurements. Since the new FDOA estimation methods handle the problem in higher-order statistics (HOS) domain, they suppress the effect due to correlated Gaussian noise sources. The authors present and compare the performance of the new fourth-order statistics-based methods against an existing method based on the cross-ambiguity function through computer simulations

Keywords

array signal processing; parameter estimation; random noise; spectral analysis; statistical analysis; FDOA estimation; correlated Gaussian noise sources; cross-ambiguity function; fourth-order statistics; frequency delay of arrival; nonparametric estimation methods; parametric estimation metho; performance; sensor signal measurements; spatially correlated Gaussian noises; trispectra; Biomedical measurements; Computer simulation; Delay effects; Delay estimation; Frequency estimation; Frequency measurement; Gaussian noise; Geophysical measurements; Higher order statistics; Noise measurement; Signal processing; Time measurement;

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.1993.342393

Filename

342393