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

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 esti...

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Bibliographic Details
Published in1998 IEEE International Conference on Communications Vol. 2; pp. 733 - 737 vol.2
Main Authors Johnston, L., Krishnamurthy, V.
Format Conference Proceeding
LanguageEnglish
Published IEEE 1998
Subjects
Convergence
Filtering algorithms
Hidden Markov models
Interference suppression
Multiaccess communication
Narrowband
Parameter estimation
Recursive estimation
Robustness
Spread spectrum communication
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Summary: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.
ISBN:0780347889
9780780347885
DOI:10.1109/ICC.1998.685107