An alternative method for ARMA(p, q) model characterization of multipath fading channels

Diogo Mera, Goncalo Tavares, Manuel Ortigueira

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

1 Citation (Scopus)

Abstract

An alternative ARMA model parameterization method for approximating the Clarke's correlation statistics is proposed. Instead of using the standard autocorrelation function in the estimation process it considers the reflection coefficients sequence, an alternative second order statistic. It is shown that the higher the order of the ARMA(p, p-1) model, the more ill-conditioned the problem becomes. The proposed method includes an automatic ill-conditioning regularization method which does not require a priori knowledge of the regularization parameter as is the case with other methods. Two ARMA(p, q) models of different orders are obtained and discussed, in particular an ARMA(12,11) model and an ARMA(14,13) model. Both models provide very good approximations to the Clarke's autocorrelation function and they are compared with other proposed ARMA(p, q) models from the literature.

Original languageEnglish
Title of host publication2015 IEEE 81st Vehicular Technology Conference, VTC Spring 2015 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Volume2015
ISBN (Electronic)978-147998088-8
DOIs
Publication statusPublished - 1 Jul 2015
Event81st IEEE Vehicular Technology Conference, VTC Spring 2015 - Glasgow, United Kingdom
Duration: 11 May 201514 May 2015

Conference

Conference81st IEEE Vehicular Technology Conference, VTC Spring 2015
CountryUnited Kingdom
CityGlasgow
Period11/05/1514/05/15

Keywords

  • Autoregressive moving-average models
  • Clarke's model
  • Ill-conditioning regularization technique
  • Multipath fading channels
  • Reflection coefficients

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