A hidden Markov model-RPE algorithm for narrowband interference suppression in spread spectrum systems

TitleA hidden Markov model-RPE algorithm for narrowband interference suppression in spread spectrum systems
Publication TypeConference Paper
Year of Publication1998
AuthorsJohnston, L., and V. Krishnamurthy
Conference NameCommunications, 1998. ICC 98. Conference Record.1998 IEEE International Conference on
Pagination733 -737 vol.2
Date Publishedjun.
KeywordsCDMA, code division multiple access, convergence of numerical methods, convergence properties, hidden Markov model-RPE algorithm, hidden Markov models, interference suppression, Kalman filter, Kalman filters, narrowband interference suppression, nonlinear estimation algorithm, prediction theory, recursive estimation, recursive hidden Markov model estimator, recursive prediction error parameter estimation algorithm, spread spectrum communication, spread spectrum systems, SS-CDMA
Abstract

This paper presents a novel nonlinear estimation algorithm based on hidden Markov models for narrowband interference suppression in CDMA spread spectrum systems. The proposed algorithm combines a recursive hidden Markov model estimator, a Kalman filter and a recursive prediction error parameter estimation algorithm. It is shown that the proposed algorithm not only outperforms the nonlinear filtering techniques for narrowband interference suppression presented in Rusch and Poor (1994), but that it outperforms and has faster, more robust convergence properties than the cross-coupled expectation maximization based algorithm presented in Logothetis and Krishnamurthy

URLhttp://dx.doi.org/10.1109/ICC.1998.685107
DOI10.1109/ICC.1998.685107

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