Parameter estimation of Nakagami-gamma shadow fading model based on minimum KL divergence

作     者：Xie Wenwu Zhou Jiachen Xiong Ming Ouyang Jingcheng Yu Chao 

作者机构：School of Information Science and Engineering， Hunan Institute of Science and Technology 

出 版 物：《The Journal of China Universities of Posts and Telecommunications》 (中国邮电高校学报(英文版))

年 卷 期：2024年

核心收录：

学科分类：080904[工学-电磁场与微波技术] 0810[工学-信息与通信工程] 0809[工学-电子科学与技术（可授工学、理学学位）] 08[工学] 080402[工学-测试计量技术及仪器] 0804[工学-仪器科学与技术] 081001[工学-通信与信息系统] 

摘      要：The Nakagami-gamma (NG) shadow decay model based on the moment-based method (MoM) generates lower tail approximation， which is inaccuracy when the gamma random variables are replaced by the lognormal random variables. The channel parameters of composite NG shadow fading based on the method of minimizing the Kullback-Leibler (KL) divergence were estimated and a closed expression for the system bit error rate (BER) was derived in this paper. The simulation results show that the KL estimated parameters solve the lower tail approximation problem， and the replacement effect of the lognormal function by the gamma function is better than the MoM when the shading parameters are around the typical value of 4-9 dB. Moreover， the KL method has a lower MSE value for the channel analysis.