An arrival time estimator for transient stochastic signals using the wavelet transform

Author

Garcia, Francisco M ; Lourtie, Isabel M G

Author_Institution

Instituto de Sistemas e Robotica, Inst. Superior Tecnico, Lisbon, Portugal

Volume

2

fYear

1995

fDate

13-16 Aug 1995

Firstpage

1110

Abstract

Compactly supported bases of wavelets with bandpass Fourier transform give time-domain localization of short-duration stochastic signals over large observation intervals. Using the wavelet transform, we develop an estimator of the arrival time of a transient stochastic signal that significantly reduces the computational load of the classical maximum likelihood estimator. The estimator relies on a simplified model of the received delayed signal. Under low signal to noise ratio, Monte Carlo simulation experiments are conducted with the proposed algorithm

Keywords

Fourier transforms; Monte Carlo methods; maximum likelihood detection; maximum likelihood estimation; stochastic processes; time-domain analysis; transient analysis; wavelet transforms; Monte Carlo simulation; arrival time estimator; bandpass Fourier transform; computational load; maximum likelihood estimator; received delayed signal; short-duration stochastic signals; signal to noise ratio; time-domain localization; transient stochastic signals; wavelet transform; Fourier transforms; Frequency; Maximum likelihood detection; Maximum likelihood estimation; Signal processing; Signal to noise ratio; Stochastic processes; Stochastic resonance; Time domain analysis; Wavelet transforms;

fLanguage

English

Publisher

ieee

Conference_Titel

Circuits and Systems, 1995., Proceedings., Proceedings of the 38th Midwest Symposium on

Conference_Location

Rio de Janeiro

Print_ISBN

0-7803-2972-4

Type

conf

DOI

10.1109/MWSCAS.1995.510289

Filename

510289