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

TitleAn adaptive hidden Markov model/Kalman filter algorithm for narrowband interference suppression with applications in multiple access communications
Publication TypeConference Paper
Year of Publication1996
AuthorsLogothetis, A., and V. Krishnamurthy
Conference NameStatistical Signal and Array Processing, 1996. Proceedings., 8th IEEE Signal Processing Workshop on (Cat. No.96TB10004
Pagination490 -493
Date Publishedjun.
Keywordsadaptive hidden Markov model, adaptive Kalman filter algorithm, adaptive Kalman filters, adaptive signal processing, code division multiple access, code division multiple access spread spectrum, DS-CDMA, hidden Markov models, interference suppression, linear filtering, multiple access communications, narrowband interference suppression, nonlinear filter, nonlinear filtering, pseudonoise codes, recursive estimation, recursive expectation maximization algorithm, recursive hidden Markov model estimator, spread spectrum communication
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)

URLhttp://dx.doi.org/10.1109/SSAP.1996.534921
DOI10.1109/SSAP.1996.534921

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