本文選題：信道編碼 + 極化碼��； 參考：《山東大學(xué)》2017年碩士論文

【摘要】：信道編碼技術(shù)能夠有效改善通信系統(tǒng)的性能,提升通信系統(tǒng)的容量。因此,研究人員一直以來都在尋找一種可以使信道容量達(dá)到香農(nóng)極限的編碼方法。2007年,E.Arikan提出了一種名為極化碼(Polar Code)的編碼方法,并證明了該編碼在二進(jìn)制離散無記憶信道(BDMC)中,理論上可以使信道容量達(dá)到香農(nóng)極限,而僅具有較低的編碼譯碼計(jì)算復(fù)雜度。極化碼因其優(yōu)秀的性能與嚴(yán)密的理論支撐,在信道編碼界引起了廣泛的關(guān)注,成為了該領(lǐng)域的研究熱點(diǎn)之一。隨著2016年極化碼被確定為下一代移動(dòng)通信系統(tǒng)(5G)控制信道中短碼的編碼方案,使得極化碼的算法研究與硬件設(shè)計(jì)更具研究價(jià)值與實(shí)際意義。論文首先對(duì)極化碼編碼及譯碼算法進(jìn)行了分析與研究,在此基礎(chǔ)上,設(shè)計(jì)出了其編碼器和譯碼器的硬件結(jié)構(gòu)。在完成SC譯碼結(jié)構(gòu)的過程中,本文提出了一種以電路結(jié)構(gòu)計(jì)算遞歸問題的方法,并設(shè)計(jì)出了譯碼器中關(guān)鍵的對(duì)數(shù)似然比計(jì)算模塊,使得所設(shè)計(jì)的極化碼譯碼結(jié)構(gòu)可以以較低的資源消耗來實(shí)現(xiàn)其應(yīng)有功能。完成了整體編解碼系統(tǒng)的硬件描述文件后,本文使用QuartusⅡ軟件對(duì)所設(shè)計(jì)的結(jié)構(gòu)進(jìn)行了邏輯綜合,得出了編碼器與譯碼器的RTL級(jí)電路模型以及資源消耗等信息。為了驗(yàn)證所設(shè)計(jì)編解碼器的功能,本文使用Modelsim與Matlab軟件對(duì)其計(jì)算過程進(jìn)行了聯(lián)合仿真,分別對(duì)比了其編碼和譯碼結(jié)果,證明了所設(shè)計(jì)的編解碼器功能正確;與此同時(shí),本文設(shè)計(jì)了模擬高斯白噪聲信道的仿真鏈路,模仿實(shí)際的信息傳輸過程對(duì)所設(shè)計(jì)編解碼器進(jìn)行了仿真,統(tǒng)計(jì)出了其仿真?zhèn)鬏數(shù)恼`碼率,證明了其性能可靠。
[Abstract]:Channel coding technology can effectively improve the performance of communication systems and enhance the capacity of communication systems. Therefore, researchers have been looking for a coding method that can reach Shannon's limit. In 2007, E. Arikan proposed a coding method called Polar Code, which is proved to be in binary discrete memoryless channel (BDMCs). In theory, the channel capacity can reach Shannon limit, but it only has low computational complexity of coding and decoding. Because of its excellent performance and rigorous theoretical support, polarization code has attracted wide attention in the field of channel coding and has become one of the research hotspots in this field. With the 2016 polarization code being defined as the coding scheme of short code in the control channel of next generation mobile communication system, it makes the algorithm research and hardware design of polarization code more valuable and practical. Firstly, the encoding and decoding algorithms of polarimetric code are analyzed and studied, and the hardware structure of the encoder and decoder is designed. In the process of completing the SC decoding structure, this paper presents a method to calculate the recursive problem with the circuit structure, and designs the key logarithmic likelihood ratio calculation module in the decoder. The designed polarization code decoding structure can achieve its proper function with low resource consumption. After completing the hardware description file of the whole coding and decoding system, this paper uses Quartus 鈪，

本文編號(hào)：1818367