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Kybernetika 35(1):83-91, 1999.

An Application of the Expectation-Maximization Algorithm to Interference Rejection for Direct-Sequence Spread-Spectrum Signals.

Quan G. Zhang and Costas N. Georghiades


Abstract:

For a direct-sequence spread-spectrum (DS-SS) system we pose and solve the problem of maximum-likelihood (ML) sequence estimation in the presence of narrowband interference, using the expectation-maximization (EM) algorithm. It is seen that the iterative EM algorithm obtains at each iteration an estimate of the interference which is then subtracted from the data before a new sequence estimate is produced. Both uncoded and trellis coded systems are studied, and the EM-based algorithm is seen to perform well, outperforming a receiver that uses an optimized notch filter to remove the intereference, especially for large interference levels.


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BIB TeX

@article{kyb:1999:1:83-91,

author = {Zhang, Quan G. and Georghiades, Costas N.},

title = {An Application of the Expectation-Maximization Algorithm to Interference Rejection for Direct-Sequence Spread-Spectrum Signals.},

journal = {Kybernetika},

volume = {35},

year = {1999},

number = {1},

pages = {83-91}

publisher = {{\'U}TIA, AV {\v C}R, Prague },

}


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