Nakagami平坦衰落信道仿真模型研究

发布时间：2018-03-21 05:02

本文选题：信道衰落　切入点：Nakagami　出处：《西安电子科技大学》2014年硕士论文　论文类型：学位论文

【摘要】：Nakagami衰落过程来源于实测数据,能够更好地模拟实际移动通信信道,因此研究Nakagami无线信道仿真模型对实际通信系统设计具有重要的理论意义和应用价值。本文在满足广义平稳非相关散射和平坦衰落的前提下,重点研究了独立非相关Nakagami慢衰落信道仿真模型和时域自相关Nakagami快衰落信道仿真模型的实现方法。在独立非相关Nakagami慢衰落信道仿真模型研究方面,分析了组合法模型、逆变换模型和舍弃法模型等现有的三种包络仿真模型。针对现有模型在仿真精度、算法复杂度和适应性等方面的不足,本文提出了一种新的任意随机分布仿真方法:权重法,并且采用权重法实现了Nakagami包络仿真、相位仿真和独立非相关Nakagami复信道仿真。在时域自相关Nakagami快衰落信道仿真模型研究方面,仿真分析了逆变换模型、Brute Force模型、秩匹配模型等现有的三种仿真模型的一阶、二阶统计特性,针对三种模型自相关性与理论值不符的问题,提出了相应的三种改进方法。最后,针对三种改进模型仍然无法同时满足良好的一阶和二阶全部统计特性的问题,本文提出了一种新的基于权重法和秩匹配思想的模块化仿真模型。该模型将信道仿真模型分解为信道包络、相位、排列顺序等独立仿真模块,通过组合各独立模块实现了时域自相关复信道仿真。本文提出的权重法可实现任意随机分布仿真,并且仿真精度和算法复杂度可根据需求调节,为独立非相关复信道仿真模型和时域自相关信道仿真模型提供了精准的Nakagami包络和相位随机序列作为模型输入源,较现有仿真方法在适应性、仿真精度、算法复杂度等方面有明显性能提升。本文提出的模块化仿真模型能够同时满足全部的信道一阶和二阶统计特性,仿真精度高、算法复杂度适中。
[Abstract]:The Nakagami fading process is derived from the measured data, which can better simulate the actual mobile communication channel. Therefore, the study of Nakagami wireless channel simulation model is of great theoretical significance and practical value in the design of practical communication systems. In this paper, the generalized stationary uncorrelated scattering and flat fading are satisfied. In this paper, we focus on the implementation of independent uncorrelated Nakagami slow fading channel model and time-domain autocorrelation Nakagami fast fading channel simulation model. In the aspect of independent uncorrelated Nakagami slow fading channel simulation model, the combinatorial model is analyzed. There are three kinds of envelope simulation models, such as inverse transform model and abandonment model. In view of the shortcomings of the existing models in simulation accuracy, algorithm complexity and adaptability, a new random distribution simulation method, weight method, is proposed in this paper. Nakagami envelope simulation, phase simulation and independent uncorrelated Nakagami complex channel simulation are realized by weight method. In the aspect of time-domain autocorrelation Nakagami fast fading channel simulation model, the inverse transform model is simulated and analyzed. The first and second order statistical characteristics of three existing simulation models, such as rank matching model, are proposed. In order to solve the problem that the autocorrelation of the three models does not agree with the theoretical value, three corresponding improved methods are proposed. In order to solve the problem that the three improved models still can not satisfy the good first and second order statistical properties simultaneously, In this paper, a new modular simulation model based on weight method and rank matching is proposed, which decomposes the channel simulation model into independent simulation modules such as channel envelope, phase, order of arrangement and so on. The simulation of time-domain autocorrelation complex channel is realized by combining each independent module. The weight method proposed in this paper can realize random distribution simulation, and the simulation precision and algorithm complexity can be adjusted according to the demand. It provides accurate Nakagami envelope and phase random sequence as input source for independent uncorrelated complex channel simulation model and time-domain autocorrelation channel simulation model, which is more adaptive and accurate than existing simulation methods. The modular simulation model proposed in this paper can satisfy the first and second order statistical characteristics of the channel simultaneously. The simulation accuracy is high and the algorithm complexity is moderate.
【学位授予单位】：西安电子科技大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TN929.5

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