多載波系統(tǒng)中新型譯碼算法研究
本文選題:OFDM + 響應(yīng)相關(guān)性。 參考:《南京郵電大學》2017年碩士論文
【摘要】:移動互聯(lián)網(wǎng)和物聯(lián)網(wǎng)的業(yè)務(wù)迅的猛增加促進了第五代移動通信技術(shù)(5G)的發(fā)展。為適應(yīng)新的移動通信業(yè)務(wù)的需求,它應(yīng)具備成本低、能耗低、延遲低和快速安全可靠的特點。正交頻分復用(OFDM)是移動通信中的熱門技術(shù),而且已經(jīng)是成熟的多載波技術(shù),而F-OFDM在5G中也是關(guān)鍵技術(shù),它突出的優(yōu)點就是頻譜利用率高。OFDM通常會與信道編碼技術(shù)相結(jié)合組成COFDM系統(tǒng)來改善OFDM系統(tǒng)性能和提高通信質(zhì)量。對于將信道編譯碼應(yīng)用到OFDM中,前輩們已經(jīng)做了很多的研究工作,但是很少有考慮到OFDM系統(tǒng)子信道之間的響應(yīng)相關(guān)性,并將這個特性應(yīng)用到信道編譯碼中來提高整個系統(tǒng)的性能。在2016年11月18日的3GPP RAN1#87次會議上,國際移動通信標準化組織3GPP已經(jīng)確定了5G的eMBB場景的信道編碼技術(shù)方案。在這個方案中,Polar碼被用來作為控制信道上的編碼;而LDPC碼被用來作為數(shù)據(jù)信道上的編碼。LDPC(Low Density Parity Check Code)碼是公認的性能優(yōu)異的信道編碼之一。Polar碼是信道編碼中的后起之秀,Polar碼的提出是基于在信道極化現(xiàn)象,在理論上已經(jīng)被證明能夠達到香農(nóng)所給的信道傳輸容量極限。本文一方面對LDPC碼的基于響應(yīng)相關(guān)性的BP譯碼存在的問題進行改進,另一方面針對5G這個新技術(shù)的需求,提出將OFDM與Polar碼結(jié)合起來,不僅考慮OFDM系統(tǒng)的特點,把這個特點應(yīng)用到Polar碼譯碼中去,得到基于相關(guān)性的Polar碼的BP譯碼,同時還對Polar碼的SC譯碼算法在連續(xù)信道上進行改進。在理論研究的基礎(chǔ)之上,建立Polar-COFDM模型和LDPC-COFDM模型,編寫代碼進行仿真,得到基于改進算法與原算法的在COFDM系統(tǒng)的性能曲線比較圖。通過觀察實驗仿真的結(jié)果,在相同條件下的LDPC-COFDM系統(tǒng)中的改進后的BP譯碼算法的性能比基于相關(guān)性BP譯碼性能得到了改善;相同條件下的Polar-COFDM系統(tǒng)中基于相關(guān)性的BP譯碼算法比原BP譯碼算法的性能得到改善;而改進后的SC譯碼算法比原SC譯碼性能要好。
[Abstract]:The rapid growth of mobile Internet and Internet of things services has contributed to the development of the fifth generation mobile communication technology (5 G). In order to meet the needs of new mobile communication services, it should have the characteristics of low cost, low energy consumption, low delay and fast, safe and reliable. Orthogonal Frequency Division Multiplexing (OFDM) is a popular technology in mobile communication, and it is a mature multicarrier technology, and F-OFDM is also a key technology in 5G. Its outstanding advantage is that high spectral efficiency. OFDM usually combines with channel coding technology to form COFDM system to improve the performance and communication quality of OFDM system. Previous researchers have done a lot of research on the application of channel coding and decoding to OFDM, but few of them have considered the response correlation between subchannels in OFDM system. This feature is applied to channel coding and decoding to improve the performance of the whole system. At the 3GPP RAN1#87 meeting on November 18, 2016, the 3GPP of the International Organization for the Standardization of Mobile Communications has decided on a 5G channel coding scheme for the eMBB scene. In this scheme, the Polar code is used as the code on the control channel. The LDPC code is used as the code. LDPC low Density Parity Check Code) code on the data channel is recognized as one of the channel codes with excellent performance. Polar code is a rising star in channel coding. The proposed code is based on the phenomenon of channel polarization. Theoretically, it has been proved that it can reach the channel transmission capacity limit given by Shannon. In this paper, on the one hand, the problem of BP decoding based on response correlation of LDPC codes is improved. On the other hand, in view of the demand of 5G new technology, it is proposed to combine OFDM with Polar codes, which not only takes into account the characteristics of OFDM system, but also improves the performance of OFDM codes. Applying this feature to the decoding of Polar codes, BP decoding of Polar codes based on correlation is obtained, and the SC decoding algorithm of Polar codes is improved on continuous channels. Based on the theoretical research, the Polar-COFDM model and the LDPC-COFDM model are established, and the code is written to simulate the performance curves of the COFDM system based on the improved algorithm and the original algorithm. The performance of the improved BP decoding algorithm in the LDPC-COFDM system under the same conditions is better than that of the BP decoding algorithm based on correlation. The performance of BP decoding algorithm based on correlation in Polar-COFDM system under the same conditions is better than that of the original BP decoding algorithm, while the improved SC decoding algorithm is better than the original SC decoding algorithm.
【學位授予單位】:南京郵電大學
【學位級別】:碩士
【學位授予年份】:2017
【分類號】:TN911.22;TN929.53
【參考文獻】
相關(guān)期刊論文 前10條
1 魏軍;;5G通信技術(shù)推動物聯(lián)網(wǎng)產(chǎn)業(yè)鏈發(fā)展[J];集成電路應(yīng)用;2017年01期
2 丁凌琦;穆道生;蔣太杰;;OFDM技術(shù)應(yīng)用現(xiàn)狀分析[J];軟件;2016年10期
3 劉超;;淺談5G移動通信的關(guān)鍵技術(shù)及發(fā)展趨勢[J];電腦知識與技術(shù);2016年22期
4 周一青;潘振崗;翟國偉;田霖;;第五代移動通信系統(tǒng)5G標準化展望與關(guān)鍵技術(shù)研究[J];數(shù)據(jù)采集與處理;2015年04期
5 龐雪蓮;;5G概述及相關(guān)技術(shù)[J];信息技術(shù)與信息化;2015年05期
6 鄭芝芳;楊華;;Polar碼在OFDM系統(tǒng)中應(yīng)用研究[J];電子測試;2012年04期
7 陳秀萍;劉彩虹;紀金水;;基于仿真的OFDM系統(tǒng)頻域相關(guān)性研究[J];計算機工程;2010年17期
8 方承志;都思丹;倪梁方;;基于半定松弛方法的時變OFDM系統(tǒng)盲信道估計[J];電子與信息學報;2008年08期
9 畢明雪;劉芳;錢博;;OFDM技術(shù)在4G移動通信系統(tǒng)中的應(yīng)用[J];科技資訊;2007年33期
10 毛寧,匡鏡明,劉家康;Turbo碼譯碼算法的時延改進分析[J];北京理工大學學報;2003年01期
相關(guān)博士學位論文 前1條
1 陶雄飛;規(guī)則低密度奇偶校驗碼的研究[D];華中科技大學;2007年
相關(guān)碩士學位論文 前8條
1 劉潔;多載波系統(tǒng)中基于響應(yīng)相關(guān)性的低密度校驗碼研究[D];南京郵電大學;2013年
2 王坦;OFDM系統(tǒng)中基于響應(yīng)相關(guān)性的Turbo譯碼研究[D];南京郵電大學;2012年
3 孫冰;LDPC碼迭代譯碼算法的研究[D];西安電子科技大學;2009年
4 羅嗣恒;無線OFDM系統(tǒng)信道估計方法的研究[D];蘭州大學;2008年
5 陳艷;LDPC碼及其在OFDM系統(tǒng)中的應(yīng)用研究[D];哈爾濱工程大學;2007年
6 劉昕;Turbo碼譯碼算法研究及其在時變多徑信道下的應(yīng)用[D];西南交通大學;2006年
7 閆晉鋒;TURBO編碼技術(shù)及其在OFDM系統(tǒng)中的應(yīng)用研究[D];西安科技大學;2005年
8 何樹杉;LDPC碼編譯碼原理及應(yīng)用[D];電子科技大學;2005年
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