Iterative receiver for synchronous CDMA using hidden Markov model

Author

Khan, Ejaz ; Slock, Dirk T M

Author_Institution

Mobile Commun. Dept., Inst. Eurecom, Sophia-Antipolis, France

Volume

4

fYear

2002

fDate

15-18 Sept. 2002

Firstpage

1531

Abstract

The expectation maximization (EM) algorithm is popular in estimating the parameters of the statistical models. We consider application of the EM algorithm to maximum likelihood estimation. A hidden Markov model (HMM) formulation is used and the EM algorithm is applied to estimate the parameters of the HMM which, in turn, are used to estimate received amplitudes of the users. The proposed method is compared with that of Khan (see PIMRC, 2002) and is found to be superior.

Keywords

amplitude estimation; code division multiple access; demodulation; hidden Markov models; iterative methods; maximum likelihood estimation; optimisation; radio receivers; statistical analysis; EM algorithm; HMM; MLE; amplitude estimation; blind demodulation; code division multiple access; expectation maximization algorithm; hidden Markov model; iterative receiver; maximum likelihood estimation; parameter estimation; statistical models; synchronous CDMA; wireless communication systems; Amplitude estimation; Code division multiplexing; Equations; Hidden Markov models; Iterative algorithms; Least squares approximation; Maximum likelihood estimation; Mobile communication; Multiaccess communication; Parameter estimation;

fLanguage

English

Publisher

ieee

Conference_Titel

Personal, Indoor and Mobile Radio Communications, 2002. The 13th IEEE International Symposium on

Print_ISBN

0-7803-7589-0

Type

conf

DOI

10.1109/PIMRC.2002.1045435

Filename

1045435