Approximating bivariate Suzuki distribution with bivariate Lognormal distribution

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概要

• 論文の詳細を見る

• In this paper, we present a simple method to approximate the bivariate Suzuki distribution by a bivariate Lognormal distribution. In particular, each Suzuki random variable (RV) is approximated by a new Lognormal RV, and the correlation coefficient between two Suzuki RVs is approximated by a new correlation coefficient between two Lognormal RVs. Numerical results validate the accuracy of this approximating method, and this method will facilitate the future analysis and calculation of the diversity system over correlated Suzuki channels.

• The Institute of Electronics, Information and Communication Engineersの論文

著者

• Wang Hui

  College Of Chemistry Jilin University

• Zhang Rui

  College of Electronic Science and Engineering, National University of Defense Technology

• Wei Ji-bo

  College of Electronic Science and Engineering, National University of Defense Technology

• Li Gao-Sheng

  College of Electronic Science and Engineering, National University of Defense Technology

• Wang Hui

  College of Electronic Science and Engineering, National University of Defense Technology

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• Approximating bivariate Suzuki distribution with bivariate Lognormal distribution

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