MMSE estimation of nonlinear parameters of multiple linear/quadratic chirps

Author

Li, Hsiang-Tsun ; Djurie, P.M.

Author_Institution

Dept. of Electr. Eng., State Univ. of New York, Stony Brook, NY, USA

Volume

46

Issue

3

fYear

1998

fDate

3/1/1998 12:00:00 AM

Firstpage

796

Lastpage

800

Abstract

An iterative algorithm similar to our MMSE estimation procedure proposed in another paper by the authors is applied to parameter estimation of multiple superimposed chirp signals in white Gaussian noise. The necessary parameter initializations of the procedure are accomplished by peak detections in the Choi-Williams (1981) time-frequency distribution of the data followed by application of the least-squares principle. A comparison between our scheme and the alternating projection (AP) method is demonstrated by computer simulation

Keywords

Gaussian noise; iterative methods; least mean squares methods; parameter estimation; signal detection; signal processing; statistical analysis; time-frequency analysis; white noise; MMSE estimation; alternating projection method; computer simulation; iterative algorithm; least-squares principle; multiple linear/quadratic chirp; multiple superimposed chirp signals; nonlinear parameters; parameter estimation; parameter initializations; peak detections; time-frequency distribution; white Gaussian noise; Application software; Chirp; Computer simulation; Frequency estimation; Gaussian noise; Iterative algorithms; Parameter estimation; Radar detection; Signal processing; Sonar applications;

fLanguage

English

Journal_Title

Signal Processing, IEEE Transactions on

Publisher

ieee

ISSN

1053-587X

Type

jour

DOI

10.1109/78.661350

Filename

661350