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An application of the expectation-maximization algorithm to interference rejection for direct-sequence spread-spectrum signals. (English) Zbl 1274.93260

Summary: 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 interference, especially for large interference levels.

MSC:

93E10 Estimation and detection in stochastic control theory
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References:

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