HOS-based harmonic retrieval: a deterministic formulation

Author

Anderson, John M M ; Giannakis, Geogios B.

Author_Institution

Dept. of Electr. Eng., Florida Univ., Gainesville, FL, USA

fYear

1992

fDate

7-9 Oct 1992

Firstpage

128

Lastpage

131

Abstract

Given a single record, the authors consider the problem of estimating the harmonics of a signal buried in noise. The observed data is modeled as a superposition of sinusoids plus stationary, zero-mean additive Gaussian noise of unknown covariance. Novel higher-order statistics, referred to as `mixed´ cumulants, are appropriate for certain types of mixed processes. After a consistent HOS-based linear estimate, an improved estimate is computed via mixed-cumulant matching. Issues regarding quadratic coupling are addressed. The performance of the proposed method is examined via simulations

Keywords

harmonic analysis; random noise; signal processing; statistical analysis; deterministic formulation; harmonic retrieval; higher-order statistics; mixed-cumulant matching; performance; quadratic coupling; sinusoids; stationary noise; zero-mean additive Gaussian noise; Additive noise; Computational modeling; Direction of arrival estimation; Gaussian noise; Higher order statistics; Maximum likelihood detection; Narrowband; Phase noise; Signal processing; White noise;

fLanguage

English

Publisher

ieee

Conference_Titel

Statistical Signal and Array Processing, 1992. Conference Proceedings., IEEE Sixth SP Workshop on

Conference_Location

Victoria, BC

Print_ISBN

0-7803-0508-6

Type

conf

DOI

10.1109/SSAP.1992.246864

Filename

246864