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http://dx.doi.org/10.7840/kics.2017.42.1.1

Input Power Normalization of Zero-Error Probability based Algorithms  

Kim, Chong-il (Catholic Kwandong University)
Kim, Namyong (Kangwon National Univ.)
Publication Information
The Journal of Korean Institute of Communications and Information Sciences / v.42, no.1, 2017 , pp. 1-7 More about this Journal
Abstract
The maximum zero error probability (MZEP) algorithm outperforms MSE (mean squared error)-based algorithms in impulsive noise environment. The magnitude controlled input (MCI) which is inherent in that algorithm is known to plays the role in keeping the algorithm undisturbed from impulsive noise. In this paper, a new approach to normalize the step size of the MZEP with average power of the MCI is proposed. In the simulation under impulsive noise with the impulse incident rate of 0.03, the performance enhancement in steady state MSE of the proposed algorithm, compared to the MZEP, is shown to be by about 2 dB.
Keywords
Normalization; Step size; Zero-error probability; Impulsive noise; Magnitude controlled;
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Times Cited By KSCI : 4  (Citation Analysis)
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