On noise suppression in adaptive delay estimation

Author

Raman, J. ; Weyten, L.

Author_Institution

Ghent Univ., Belgium

Volume

1

fYear

1999

fDate

1999

Firstpage

211

Abstract

While adaptive gradient descent algorithms for delay estimation are very attractive for their computational simplicity, when compared to generalized cross correlators they lack the improved performance obtained by prefiltering the noisy signals. We demonstrate how time-domain prefiltering with low computational cost can be accomplished when estimating the delay of a stochastic lowpass signal under additive white noise interference

Keywords

FIR filters; adaptive estimation; adaptive filters; adaptive signal processing; delay estimation; filtering theory; gradient methods; maximum likelihood estimation; white noise; FIR prefilter; adaptive delay estimation; adaptive gradient descent algorithms; adaptive prefilter; additive white noise; additive white noise interference; computational simplicity; generalized cross correlators; low computational cost; maximum likelihood time delay estimator; noise suppression; stochastic lowpass signal; time-domain prefiltering; Australia; Bandwidth; Delay effects; Delay estimation; Filtering; Finite impulse response filter; Frequency; Radar signal processing; Signal processing; Signal processing algorithms;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal Processing and Its Applications, 1999. ISSPA '99. Proceedings of the Fifth International Symposium on

Conference_Location

Brisbane, Qld.

Print_ISBN

1-86435-451-8

Type

conf

DOI

10.1109/ISSPA.1999.818150

Filename

818150