極化編碼中繼協(xié)作與網(wǎng)絡(luò)編碼系統(tǒng)的構(gòu)造與性能研究
本文選題:極化碼 + 信道編碼; 參考:《南京航空航天大學(xué)》2017年碩士論文
【摘要】:通信技術(shù)深刻地影響了人們的生活方式,并且隨著現(xiàn)代社會的不斷發(fā)展,人們對通信服務(wù)提出了更高的要求,如何保證通信服務(wù)的可靠性,有效性,一直是通信領(lǐng)域的研究熱點(diǎn)。信道編碼技術(shù)是一種可以提高通信系統(tǒng)可靠性的方式,目前最新的信道編碼方式是由Arikan提出的極化碼編碼。極化碼從理論上證明可以達(dá)到香農(nóng)限,并且具有較低的編譯碼復(fù)雜度。協(xié)作通信的提出又為通信技術(shù)的發(fā)展作出了貢獻(xiàn),通過共享用戶間的資源,通過不同的信道發(fā)送信息,獲得了分集增益,提高了系統(tǒng)的性能。本文研究了極化碼的基本原理以及極化碼的系統(tǒng)碼編碼,并將極化碼與編碼協(xié)作、網(wǎng)絡(luò)編碼相結(jié)合,主要的研究內(nèi)容和創(chuàng)新點(diǎn)如下:(1)比較分析了傳統(tǒng)信道編碼與極化碼的區(qū)別與聯(lián)系,研究了信道極化現(xiàn)象,分析了產(chǎn)生極化現(xiàn)象的原因;研究了信道的組合與分解,并對相關(guān)的公式做了理論推導(dǎo)證明;介紹了極化碼的編碼算法,在研究極化碼的原始SC譯碼算法的基礎(chǔ)上,推導(dǎo)了其他的譯碼方式的算法過程,有對數(shù)似然SC譯碼算法,最小和譯碼算法,基于整數(shù)量化的極化碼譯碼算法等。同時介紹了SC譯碼的改進(jìn)算法SCL譯碼算法。對不同的譯碼算法,不同的信道條件以及不同的極化碼構(gòu)造方法對極化碼性能的影響做了仿真。(2)極化碼最初是以非系統(tǒng)碼的形式提出來的,作為一種線性分組碼,也是可以進(jìn)行系統(tǒng)編碼的。在非系統(tǒng)極化碼的基礎(chǔ)上,研究了極化碼的系統(tǒng)碼的編譯碼算法,分析了系統(tǒng)極化碼的編碼復(fù)雜度。通過仿真說明了系統(tǒng)極化碼的性能優(yōu)于非系統(tǒng)極化碼,分析了系統(tǒng)極化碼的誤碼率。(3)在研究了系統(tǒng)極化碼的基礎(chǔ)上,將系統(tǒng)極化碼與協(xié)作通信技術(shù)相結(jié)合,提出了一種基于系統(tǒng)極化碼的編碼協(xié)作模型,并給出了各部分的實(shí)現(xiàn)框圖,詳細(xì)分析了各節(jié)點(diǎn)的實(shí)現(xiàn)過程,計算了整個協(xié)作系統(tǒng)的系統(tǒng)碼率。通過仿真,說明了本文所提出的編碼協(xié)作方案與已有的基于Plotkin結(jié)構(gòu)的編碼協(xié)作方案相比,具有更優(yōu)異的性能。(4)針對多信源的特點(diǎn),引入了網(wǎng)絡(luò)編碼技術(shù),研究了在雙向中繼通信中的兩種網(wǎng)絡(luò)編碼方案,分別是直接網(wǎng)絡(luò)編碼方案和物理層網(wǎng)絡(luò)編碼方案,并通過仿真分析比較了兩種方案的性能及特點(diǎn)。提出了一種基于極化碼的網(wǎng)絡(luò)編碼協(xié)作通信方案,通過仿真說明了網(wǎng)絡(luò)編碼協(xié)作通信系統(tǒng)性能優(yōu)于非協(xié)作系統(tǒng)的性能,并在不同的信道條件下對所提出的方案進(jìn)行了仿真和分析。
[Abstract]:Communication technology has deeply influenced people's way of life, and with the development of modern society, people have put forward higher requirements for communication services, how to ensure the reliability and effectiveness of communication services, It has always been a research hotspot in the field of communication. Channel coding technology is a way to improve the reliability of communication systems. At present, the latest channel coding method is polarimetric code proposed by Arikan. It is proved theoretically that polarization codes can reach Shannon limit and have low encoding and decoding complexity. The proposed cooperative communication contributes to the development of communication technology. By sharing the resources between users and sending information through different channels, the diversity gain is obtained and the performance of the system is improved. In this paper, we study the basic principle of polarization code and the system code coding of polarization code, and combine polarization code with coding cooperation and network coding. The main research contents and innovations are as follows: (1) the differences and relations between traditional channel coding and polarization code are compared and analyzed, the polarization phenomenon of channel is studied, the reason of polarization phenomenon is analyzed, and the combination and decomposition of channel are studied. The relevant formulas are theoretically deduced and proved, and the coding algorithm of polarization code is introduced. On the basis of studying the original SC decoding algorithm of polarimetric code, the algorithm of other decoding methods, logarithmic likelihood SC decoding algorithm, is derived. Minimum sum decoding algorithm, polarization code decoding algorithm based on integer quantization and so on. At the same time, the improved SC decoding algorithm SCL decoding algorithm is introduced. The effects of different decoding algorithms, different channel conditions and different construction methods of polarization codes on the performance of polarization codes are simulated. (2) polarization codes are originally proposed as a linear block code in the form of non-system codes. It is also possible to code the system. Based on the non-system polarization code, the encoding and decoding algorithm of the system code is studied, and the encoding complexity of the system polarization code is analyzed. The performance of the system polarization code is proved to be superior to that of the non-system polarization code by simulation. The bit error rate of the system polarization code is analyzed. (3) based on the study of the system polarization code, the system polarization code is combined with the cooperative communication technology. In this paper, a coding cooperation model based on system polarization code is proposed, and the implementation block diagram of each part is given. The implementation process of each node is analyzed in detail, and the system code rate of the whole cooperative system is calculated. The simulation results show that the proposed coding cooperation scheme has better performance than the existing Plotkin scheme. (4) Network coding technology is introduced for the characteristics of multiple sources. In this paper, two kinds of network coding schemes in bidirectional relay communication are studied, one is direct network coding scheme and the other is physical layer network coding scheme, and the performance and characteristics of the two schemes are compared by simulation. A network coding cooperative communication scheme based on polarization code is proposed. The simulation results show that the performance of network coded cooperative communication system is better than that of non-cooperative system. The proposed scheme is simulated and analyzed under different channel conditions.
【學(xué)位授予單位】:南京航空航天大學(xué)
【學(xué)位級別】:碩士
【學(xué)位授予年份】:2017
【分類號】:TN911.22
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