本文選題：信道衰落　切入點(diǎn)：Nakagami　出處：《西安電子科技大學(xué)》2014年碩士論文　論文類型：學(xué)位論文

【摘要】：Nakagami衰落過程來源于實(shí)測數(shù)據(jù),能夠更好地模擬實(shí)際移動(dòng)通信信道,因此研究Nakagami無線信道仿真模型對實(shí)際通信系統(tǒng)設(shè)計(jì)具有重要的理論意義和應(yīng)用價(jià)值。本文在滿足廣義平穩(wěn)非相關(guān)散射和平坦衰落的前提下,重點(diǎn)研究了獨(dú)立非相關(guān)Nakagami慢衰落信道仿真模型和時(shí)域自相關(guān)Nakagami快衰落信道仿真模型的實(shí)現(xiàn)方法。在獨(dú)立非相關(guān)Nakagami慢衰落信道仿真模型研究方面,分析了組合法模型、逆變換模型和舍棄法模型等現(xiàn)有的三種包絡(luò)仿真模型。針對現(xiàn)有模型在仿真精度、算法復(fù)雜度和適應(yīng)性等方面的不足,本文提出了一種新的任意隨機(jī)分布仿真方法:權(quán)重法,并且采用權(quán)重法實(shí)現(xiàn)了Nakagami包絡(luò)仿真、相位仿真和獨(dú)立非相關(guān)Nakagami復(fù)信道仿真。在時(shí)域自相關(guān)Nakagami快衰落信道仿真模型研究方面,仿真分析了逆變換模型、Brute Force模型、秩匹配模型等現(xiàn)有的三種仿真模型的一階、二階統(tǒng)計(jì)特性,針對三種模型自相關(guān)性與理論值不符的問題,提出了相應(yīng)的三種改進(jìn)方法。最后,針對三種改進(jìn)模型仍然無法同時(shí)滿足良好的一階和二階全部統(tǒng)計(jì)特性的問題,本文提出了一種新的基于權(quán)重法和秩匹配思想的模塊化仿真模型。該模型將信道仿真模型分解為信道包絡(luò)、相位、排列順序等獨(dú)立仿真模塊,通過組合各獨(dú)立模塊實(shí)現(xiàn)了時(shí)域自相關(guān)復(fù)信道仿真。本文提出的權(quán)重法可實(shí)現(xiàn)任意隨機(jī)分布仿真,并且仿真精度和算法復(fù)雜度可根據(jù)需求調(diào)節(jié),為獨(dú)立非相關(guān)復(fù)信道仿真模型和時(shí)域自相關(guān)信道仿真模型提供了精準(zhǔn)的Nakagami包絡(luò)和相位隨機(jī)序列作為模型輸入源,較現(xiàn)有仿真方法在適應(yīng)性、仿真精度、算法復(fù)雜度等方面有明顯性能提升。本文提出的模塊化仿真模型能夠同時(shí)滿足全部的信道一階和二階統(tǒng)計(jì)特性,仿真精度高、算法復(fù)雜度適中。
[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.
【學(xué)位授予單位】：西安電子科技大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2014
【分類號(hào)】：TN929.5

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