Weak Signal Detection in a Moving Average Model of Impulsive Noise 


Vol. 30,  No. 6, pp. 523-531, Jun.  2005


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  Abstract

We derive decision regions of the maximum likelihood(ML) and suboptimum ML(S-ML) detectors in the first order moving average(FOMA) of an impulsive process. The ML and S-ML detectors are compared in terms of the bit-error-rate in the antipodal signaling system. Numerical results show that the S-ML detector, despite its reduced complexity and simpler structure, exhibits practically the same performance as the optimum ML detector. It is also shown that the performance gap between detectors for FOMA and independent and identically distributed noise becomes larger as the degree of noise impulsiveness increases.

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  Cite this article

[IEEE Style]

I. J. Kim, J. Lee, S. W. Choi, S. R. Park, I. Song, "Weak Signal Detection in a Moving Average Model of Impulsive Noise," The Journal of Korean Institute of Communications and Information Sciences, vol. 30, no. 6, pp. 523-531, 2005. DOI: .

[ACM Style]

In Jong Kim, Jumi Lee, Sang Won Choi, So Ryoung Park, and Iickho Song. 2005. Weak Signal Detection in a Moving Average Model of Impulsive Noise. The Journal of Korean Institute of Communications and Information Sciences, 30, 6, (2005), 523-531. DOI: .

[KICS Style]

In Jong Kim, Jumi Lee, Sang Won Choi, So Ryoung Park, Iickho Song, "Weak Signal Detection in a Moving Average Model of Impulsive Noise," The Journal of Korean Institute of Communications and Information Sciences, vol. 30, no. 6, pp. 523-531, 6. 2005.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880