Continuous state HMM modeling of flat fading channels

Author

Turin, William ; Jana, Rittwik

Author_Institution

AT&T Shannon Lab. Res., Florham Park, NJ, USA

Volume

1

fYear

2005

fDate

30 May-1 June 2005

Firstpage

243

Abstract

There are several discrete state Markov or hidden Markov models (HMMs) of the flat fading. These models assume that there is a finite number of discrete fading levels. The main reason for considering a discrete state model is simplicity of using these models in applications. Continuous state HMMs (CSHMMs) and, in particular, hidden Gauss-Markov models (HGMM) describe fading more accurately. In this paper, we present applications of CSHMMs to model flat fading and develop analytic methods for computing basic characteristics of the fading process by using the notion of operator probability.

Keywords

Gaussian processes; channel estimation; fading channels; hidden Markov models; mathematical operators; mobile communication; probability; HMM; continuous state HMM; continuous state HMM modeling; discrete fading levels; discrete state Markov models; discrete state model; fading process characteristics; flat fading channels; hidden Gauss-Markov models; hidden Markov models; operator probability; parameter estimation; Analytical models; Autocorrelation; Fading; Gaussian processes; Hidden Markov models; Parameter estimation; Performance analysis; Road transportation; Scattering parameters; Signal processing; Continuous State; Hidden Markov Models; fading channels; parameter estimation;

fLanguage

English

Publisher

ieee

Conference_Titel

Vehicular Technology Conference, 2005. VTC 2005-Spring. 2005 IEEE 61st

ISSN

1550-2252

Print_ISBN

0-7803-8887-9

Type

conf

DOI

10.1109/VETECS.2005.1543287

Filename

1543287