Estimation of frequency-delay of arrival (FDOA) using fourth-order statistics in unknown correlated Gaussian noise sources

Author

Shin, Dae C. ; Nikias, Chrysostomos L.

Author_Institution

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

Volume

42

Issue

10

fYear

1994

fDate

10/1/1994 12:00:00 AM

Firstpage

2771

Lastpage

2780

Abstract

A new family of nonparametric and parametric methods based on fourth-order statistics for the estimation of the frequency-delay of arrival (FDOA) between two sensor signal measurements, corrupted by correlated Gaussian noise sources in an unknown way, is presented. The new family of FDOA estimation methods utilizes the fourth-order cumulants or 1-D Fourier transforms of sliced fourth-order cumulants of the two signal measurements. It is demonstrated that the new family of FDOA estimation methods suppresses the effect due to correlated Gaussian measurement noises and outperforms existing second-order statistics-based FDOA estimation methods using either cross-ambiguity function or MUSIC algorithm. Various simulation results are presented for different types of signals, different lengths of data, and different signal-to-noise ratios

Keywords

Fourier transforms; array signal processing; correlation methods; delays; estimation theory; nonparametric statistics; parameter estimation; random noise; statistical analysis; 1-D Fourier transforms; FDOA estimation methods; correlated Gaussian noise sources; data lengths; fourth-order cumulants; fourth-order statistics; frequency-delay of arrival estimation; nonparametric methods; parametric methods; sensor signal measurements; signal-to-noise ratios; simulation results; Biomedical measurements; Biosensors; Delay estimation; Frequency estimation; Frequency measurement; Gaussian noise; Geophysical measurements; Noise measurement; Parametric statistics; Signal processing;

fLanguage

English

Journal_Title

Signal Processing, IEEE Transactions on

Publisher

ieee

ISSN

1053-587X

Type

jour

DOI

10.1109/78.324742

Filename

324742