# An application of the expectation-maximization algorithm to interference rejection for direct-sequence spread-spectrum signals

Quan G. Zhang; Costas N. Georghiades

Kybernetika (1999)

- Volume: 35, Issue: 1, page [83]-91
- ISSN: 0023-5954

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topZhang, Quan G., and Georghiades, Costas N.. "An application of the expectation-maximization algorithm to interference rejection for direct-sequence spread-spectrum signals." Kybernetika 35.1 (1999): [83]-91. <http://eudml.org/doc/33411>.

@article{Zhang1999,

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.},

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

journal = {Kybernetika},

keywords = {maximum likelihood (ML) estimation; spread-spectrum signal; sequence estimation; narrowband interference; expectation-maximization (EM) algorithm; notch filter; maximum likelihood (ML) estimation; spread-spectrum signal; sequence estimation; narrowband interference; expectation-maximization (EM) algorithm; notch filter},

language = {eng},

number = {1},

pages = {[83]-91},

publisher = {Institute of Information Theory and Automation AS CR},

title = {An application of the expectation-maximization algorithm to interference rejection for direct-sequence spread-spectrum signals},

url = {http://eudml.org/doc/33411},

volume = {35},

year = {1999},

}

TY - JOUR

AU - Zhang, Quan G.

AU - Georghiades, Costas N.

TI - An application of the expectation-maximization algorithm to interference rejection for direct-sequence spread-spectrum signals

JO - Kybernetika

PY - 1999

PB - Institute of Information Theory and Automation AS CR

VL - 35

IS - 1

SP - [83]

EP - 91

AB - 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.

LA - eng

KW - maximum likelihood (ML) estimation; spread-spectrum signal; sequence estimation; narrowband interference; expectation-maximization (EM) algorithm; notch filter; maximum likelihood (ML) estimation; spread-spectrum signal; sequence estimation; narrowband interference; expectation-maximization (EM) algorithm; notch filter

UR - http://eudml.org/doc/33411

ER -

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