Title :
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
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;
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
DOI :
10.1109/SSAP.1996.534921