Estimation of amplitude and phase of non-stationary signals

Benjamin Friedlander, Joseph Francos

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Scopus citations

Abstract

We consider the problem of estimating signals consisting of one or more components of the form a(t)ejθ(t), where the amplitude and phase functions are represented by a linear parametric model. A maximum likelihood algorithm for estimating the phase and amplitude parameters is presented, and the corresponding Cramer-Rao Bound (CRB) is derived. By analyzing the CRB for the single-component case it is shown that the estimation of the amplitude and the phase are decoupled. The performance of the maximum likelihood algorithm is illustrated by Monte-Carlo simulations, and its statistical efficiency is verified.

Original languageEnglish
Title of host publicationConference Record of the Asilomar Conference on Signals, Systems & Computers
EditorsAvtar Singh
PublisherInstitute of Electrical and Electronics Engineers
Pages431-435
Number of pages5
ISBN (Print)0818641207
StatePublished - 1 Dec 1993
Externally publishedYes
EventProceedings of the 27th Asilomar Conference on Signals, Systems & Computers - Pacific Grove, CA, USA
Duration: 1 Nov 19933 Nov 1993

Publication series

NameConference Record of the Asilomar Conference on Signals, Systems & Computers
Volume1
ISSN (Print)1058-6393

Conference

ConferenceProceedings of the 27th Asilomar Conference on Signals, Systems & Computers
CityPacific Grove, CA, USA
Period1/11/933/11/93

ASJC Scopus subject areas

  • Signal Processing
  • Computer Networks and Communications

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