An adaptive hidden Markov model/Kalman filter algorithm for narrowband interference suppression with applications in multiple access communications

Author

Logothetis, A. ; Krishnamurthy, V.

Author_Institution

Dept. of Electr. & Electron. Eng., Melbourne Univ., Parkville, Vic., Australia

fYear

1996

fDate

24-26 Jun 1996

Firstpage

490

Lastpage

493

Abstract

This paper presents a novel nonlinear filter for narrowband interference suppression in multiple access communication systems; in particular code division multiple access spread spectrum. The proposed algorithm combines a recursive hidden Markov model estimator, Kalman filter and the recursive expectation maximization algorithm. It is shown that the proposed algorithm outperforms current linear and nonlinear filtering techniques, presented by Rusch and Poor (see IEEE Transactions on Communications, vol.42, no.2/3/4, p.1969-79, 1994)

Keywords

adaptive Kalman filters; adaptive signal processing; code division multiple access; hidden Markov models; interference suppression; pseudonoise codes; recursive estimation; spread spectrum communication; DS-CDMA; adaptive Kalman filter algorithm; adaptive hidden Markov model; code division multiple access spread spectrum; linear filtering; multiple access communications; narrowband interference suppression; nonlinear filter; nonlinear filtering; recursive expectation maximization algorithm; recursive hidden Markov model estimator; Adaptive filters; Bandwidth; Feedback; Hidden Markov models; Interference suppression; Multiaccess communication; Narrowband; Nonlinear filters; Signal processing; Spread spectrum communication;

fLanguage

English

Publisher

ieee

Conference_Titel

Statistical Signal and Array Processing, 1996. Proceedings., 8th IEEE Signal Processing Workshop on (Cat. No.96TB10004

Conference_Location

Corfu

Print_ISBN

0-8186-7576-4

Type

conf

DOI

10.1109/SSAP.1996.534921

Filename

534921