Input Power Normalization of Zero-Error Probability based Algorithms 


Vol. 42,  No. 1, pp. 1-7, Jan.  2017


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  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.

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  Cite this article

[IEEE Style]

C. Kim and N. Kim, "Input Power Normalization of Zero-Error Probability based Algorithms," The Journal of Korean Institute of Communications and Information Sciences, vol. 42, no. 1, pp. 1-7, 2017. DOI: .

[ACM Style]

Chong-il Kim and Namyong Kim. 2017. Input Power Normalization of Zero-Error Probability based Algorithms. The Journal of Korean Institute of Communications and Information Sciences, 42, 1, (2017), 1-7. DOI: .

[KICS Style]

Chong-il Kim and Namyong Kim, "Input Power Normalization of Zero-Error Probability based Algorithms," The Journal of Korean Institute of Communications and Information Sciences, vol. 42, no. 1, pp. 1-7, 1. 2017.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880