分集技术可有效提高无线通信系统抗衰落性能,通过将Nakagami衰落下的分集系统等效为单输入单输出系统,推导获得了选择合并(Selection combining,SC)、等增益合并(Equal gain combining,EGC)和最大比合并(Maximal ratio combining,MRC)3...分集技术可有效提高无线通信系统抗衰落性能,通过将Nakagami衰落下的分集系统等效为单输入单输出系统,推导获得了选择合并(Selection combining,SC)、等增益合并(Equal gain combining,EGC)和最大比合并(Maximal ratio combining,MRC)3种方式下系统的输出信噪比和中断概率等性能表达式,并提出一种基于改进的Nakagami分集信道舍弃法模型用于数值仿真与验证。仿真结果表明,理论表达式结果与仿真值非常吻合,可用于辅助瑞利、莱斯和Nakagami等多种信道衰落下分集系统的参数选择、算法设计和性能评估。展开更多
This paper is an improvement over beta-Nakagami distribution developed by Shittu and Adepoju （2013）. Here we propose the addition of one parameter to the two parameter continuous Nakagami-m distribution （Nakagami, ...This paper is an improvement over beta-Nakagami distribution developed by Shittu and Adepoju （2013）. Here we propose the addition of one parameter to the two parameter continuous Nakagami-m distribution （Nakagami, 1960） that was designed for modeling the fading of radio signals. The resulting distribution referred to as Exponentiated Nakagami （ENAK） distribution is a generalization of the classical Nakagami distribution. The statistical properties of the proposed distribution such as moments, moment generating function, the asymptotic behavior among others were investigated. The method of maximum likelihood is used to estimate the model parameters and the observed information matrix is derived. A real data set is used to compare the new model with the class of Nakagami distributions. Our findings showed that the Exponentiated Nakagami distribution is more flexible than beta-Nakagami distribution with better representation and less computational effort.展开更多
针对相关Nakagami衰落等增益合并(equal gain combining,EGC)分集系统性能不存在精确解析式的问题,提出一种基于矩匹配的高效近似分析方法.该方法将各支路信号等增益叠加后的复杂衰落近似等价为α-μ分布,利用α-μ变量的统计特性获得...针对相关Nakagami衰落等增益合并(equal gain combining,EGC)分集系统性能不存在精确解析式的问题,提出一种基于矩匹配的高效近似分析方法.该方法将各支路信号等增益叠加后的复杂衰落近似等价为α-μ分布,利用α-μ变量的统计特性获得分集系统的信噪比分布、中断概率和平均误符号率等性能表达式.仿真结果表明,该方法实现简单,计算结果与理论值非常接近,可应用于多种信道衰落下EGC分集系统的参数设计和性能评估.展开更多
文摘分集技术可有效提高无线通信系统抗衰落性能,通过将Nakagami衰落下的分集系统等效为单输入单输出系统,推导获得了选择合并(Selection combining,SC)、等增益合并(Equal gain combining,EGC)和最大比合并(Maximal ratio combining,MRC)3种方式下系统的输出信噪比和中断概率等性能表达式,并提出一种基于改进的Nakagami分集信道舍弃法模型用于数值仿真与验证。仿真结果表明,理论表达式结果与仿真值非常吻合,可用于辅助瑞利、莱斯和Nakagami等多种信道衰落下分集系统的参数选择、算法设计和性能评估。
文摘This paper is an improvement over beta-Nakagami distribution developed by Shittu and Adepoju （2013）. Here we propose the addition of one parameter to the two parameter continuous Nakagami-m distribution （Nakagami, 1960） that was designed for modeling the fading of radio signals. The resulting distribution referred to as Exponentiated Nakagami （ENAK） distribution is a generalization of the classical Nakagami distribution. The statistical properties of the proposed distribution such as moments, moment generating function, the asymptotic behavior among others were investigated. The method of maximum likelihood is used to estimate the model parameters and the observed information matrix is derived. A real data set is used to compare the new model with the class of Nakagami distributions. Our findings showed that the Exponentiated Nakagami distribution is more flexible than beta-Nakagami distribution with better representation and less computational effort.
文摘针对相关Nakagami衰落等增益合并(equal gain combining,EGC)分集系统性能不存在精确解析式的问题,提出一种基于矩匹配的高效近似分析方法.该方法将各支路信号等增益叠加后的复杂衰落近似等价为α-μ分布,利用α-μ变量的统计特性获得分集系统的信噪比分布、中断概率和平均误符号率等性能表达式.仿真结果表明,该方法实现简单,计算结果与理论值非常接近,可应用于多种信道衰落下EGC分集系统的参数设计和性能评估.
