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Weak Signal Detection in a Moving Average Model of Impulsive Noise  

Kim In Jong (한국과학기술원 전자전산학과)
Lee Jumi (한국과학기술원 전자전산학과)
Choi Sang Won (한국과학기술원 전자전산학과)
Park So Ryoung (가톨릭대학교 정보통신전자공학과)
Song Iickho (한국과학기술원 전자전산학과)
Publication Information
The Journal of Korean Institute of Communications and Information Sciences / v.30, no.6C, 2005 , pp. 523-531 More about this Journal
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.
Keywords
signal detection; first order moving average noise; maximum likelihood(ML) detection; impulsive noise; weak signal;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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