Research on parameter estimation of time-varying AR model

Wenhua Wang*, Wenxing Wang*

*Corresponding author for this work

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

2 Citations (Scopus)

Abstract

In this paper the chirp signals are analyzed by time-varying autoregressive (AR) model according to their characteristics, and the recursive least squares algorithm is considered to estimate time-varying coefficients of AR model. The method has the advantage of simple, saving computation time and storage space. Theoretical analysis and simulation results all show the validity of this method.

Original languageEnglish
Title of host publicationPIMRC2003 - 14th IEEE 2003 International Symposium on Personal, Indoor and Mobile Radio Communications, Proceedings
Pages2378-2382
Number of pages5
DOIs
Publication statusPublished - 2003
Event14th IEEE 2003 International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC2003 - Beijing, China
Duration: 7 Sept 200310 Sept 2003

Publication series

NameIEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC
Volume3

Conference

Conference14th IEEE 2003 International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC2003
Country/TerritoryChina
CityBeijing
Period7/09/0310/09/03

Keywords

  • Chirp signal
  • Signal analysis
  • Time-varying AR model

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