Modeling and estimation for Doppler-shifted Gaussian random processes

Christophe Couvreur, Yoram Bresler

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We address the problems of modeling Doppler-shifted wide-band Gaussian random processes and of estimating the Doppler parameter from a finite series of discrete-time samples. Relations between the continuous-time process, the Doppler shift parameter, and the discrete-time process obtained by sampling are established. Approximate rational models are proposed. Various estimators are proposed for Doppler parameter when the second-order statistics of the original continuous-time random process are known. The Cramer-Rao bound is derived. The estimators are compared experimentally on synthetic Doppler-shifted data. We also hint at some extensions of the method to non-stationary processes and time-varying Doppler shifts.

Original languageEnglish (US)
Title of host publicationIEEE Signal Processing Workshop on Statistical Signal and Array Processing, SSAP
Editors Anon
PublisherIEEE
Pages28-31
Number of pages4
StatePublished - 1996
Externally publishedYes
EventProceedings of the 1996 8th IEEE Signal Processing Workshop on Statistical Signal and Array Processing, SSAP'96 - Corfu, Greece
Duration: Jun 24 1996Jun 26 1996

Other

OtherProceedings of the 1996 8th IEEE Signal Processing Workshop on Statistical Signal and Array Processing, SSAP'96
CityCorfu, Greece
Period6/24/966/26/96

ASJC Scopus subject areas

  • General Engineering

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