本文選題：空間調(diào)制 + 映射��； 參考：《電子科技大學(xué)》2014年碩士論文

【摘要】：多輸入多輸出(Multiple Input Multiple Output,MIMO)是一種在系統(tǒng)發(fā)射端和接收端配置多根天線的傳輸技術(shù),該技術(shù)因其較高的數(shù)據(jù)傳輸率和頻譜利用率而成為移動(dòng)通信系統(tǒng)中的關(guān)鍵技術(shù)之一�？臻g調(diào)制是近年來提出的一種新型MIMO傳輸技術(shù),該技術(shù)利用空間維度,使發(fā)射端在每個(gè)時(shí)隙只選擇一根天線發(fā)送數(shù)據(jù)符號(hào),因此能夠有效地避免天線間的符號(hào)干擾及同步問題,同時(shí),通過將一部分信息隱含于發(fā)射天線的選擇中而使系統(tǒng)的頻譜效率得到了一定的保證,并且,該技術(shù)在接收端的檢測(cè)復(fù)雜度也較低,十分適用于接收天線數(shù)小于發(fā)射天線數(shù)的非對(duì)稱多天線系統(tǒng)。目前,空間調(diào)制技術(shù)已受到廣泛關(guān)注,成為了MIMO系統(tǒng)的重要研究方向之一。本論文從發(fā)射端和接收端出發(fā),分別研究了空間調(diào)制系統(tǒng)的映射方法和軟輸入軟輸出迭代檢測(cè)算法,并對(duì)空間調(diào)制技術(shù)進(jìn)行了拓展和研究,使其更好地適應(yīng)未來無線通信系統(tǒng)的發(fā)展要求。本論文的主要研究工作具體如下:第一章對(duì)MIMO傳輸技術(shù)的發(fā)展現(xiàn)狀和空間調(diào)制系統(tǒng)的研究成果進(jìn)行了基本的概括。第二章主要研究了空間調(diào)制系統(tǒng)發(fā)射端的映射方法,分別在正交幅度調(diào)制、多元相移鍵控和多元幅移鍵控下分析和描述了適用于不同調(diào)制方式的空間調(diào)制映射準(zhǔn)則。第三章首先闡述了Turbo均衡系統(tǒng)的基本原理,其次將空間調(diào)制技術(shù)與Turbo均衡系統(tǒng)進(jìn)行了結(jié)合,以軟輸入軟輸出迭代檢測(cè)來獲得更優(yōu)的性能,接著對(duì)適用于編碼的空間調(diào)制系統(tǒng)中幾種典型的迭代檢測(cè)算法進(jìn)行了描述,最后提出了一種基于等效歐式距離的迭代軟檢測(cè)算法,該算法與最大似然迭代檢測(cè)算法相比,檢測(cè)性能只有較小的損失,但復(fù)雜度得到了較大幅度的降低,具有重要的實(shí)用意義。第四章對(duì)拓展的空間調(diào)制技術(shù)進(jìn)行了概述,并且針對(duì)接收端的檢測(cè)算法進(jìn)行了研究,分別描述了適用于拓展的空間調(diào)制系統(tǒng)的最大似然和球形譯碼檢測(cè)算法,然后提出了一種基于線性均衡的分塊檢測(cè)算法,該算法檢測(cè)性能較優(yōu),復(fù)雜度與ML相比至少能降低50%。為進(jìn)一步降低檢測(cè)復(fù)雜度,對(duì)該算法進(jìn)行了改進(jìn),得到了一種基于排序的分塊線性均衡檢測(cè)算法,仿真結(jié)果表明改進(jìn)的算法也能獲得接近最大似然的檢測(cè)性能,同時(shí)復(fù)雜度也得到了更大幅度的降低,從而在拓展的空間調(diào)制系統(tǒng)中其實(shí)用性較強(qiáng)。第五章對(duì)全文的研究?jī)?nèi)容進(jìn)行了總結(jié),同時(shí)指出了空間調(diào)制技術(shù)在未來通信系統(tǒng)中發(fā)展的研究方向。
[Abstract]:Multiple input multiple output MIMO (MIMO) is a transmission technology with multiple antennas on the transmitter and receiver. It has become one of the key technologies in mobile communication systems because of its high data transmission rate and spectrum efficiency. Spatial modulation is a new MIMO transmission technology proposed in recent years. By using spatial dimension, the transmitter can select only one antenna in each time slot to transmit data symbols, so it can effectively avoid symbol interference and synchronization between antennas. At the same time, the spectrum efficiency of the system is guaranteed by hiding part of the information in the selection of the transmitting antenna, and the detection complexity of the technique in the receiver is also low. It is very suitable for asymmetric multi-antenna systems where the number of receiving antennas is less than the number of transmitting antennas. At present, spatial modulation technology has received extensive attention and become one of the important research directions of MIMO system. In this paper, the mapping method of spatial modulation system and the soft input and soft output iterative detection algorithm are studied respectively from the transmitter and receiver, and the spatial modulation technology is extended and studied. Make it better adapt to the future wireless communication system development requirements. The main work of this thesis is as follows: in the first chapter, the development of MIMO transmission technology and the achievements of spatial modulation system are summarized. In the second chapter, the mapping methods of the transmitter of spatial modulation system are studied. Under the orthogonal amplitude modulation, multi-phase shift keying and multivariate amplitude shift keying, the spatial modulation mapping criteria suitable for different modulation modes are analyzed and described respectively. In chapter 3, the basic principle of Turbo equalization system is introduced, and then the spatial modulation technique is combined with Turbo equalization system to obtain better performance by soft input and soft output iterative detection. Then, several typical iterative detection algorithms for coded spatial modulation systems are described. At last, an iterative soft detection algorithm based on equivalent Euclidean distance is proposed, which is compared with the maximum likelihood iterative detection algorithm. The detection performance has only a small loss, but the complexity has been greatly reduced, which has important practical significance. In the fourth chapter, the extended spatial modulation technology is summarized, and the detection algorithm of receiver is studied, and the maximum likelihood and spherical decoding detection algorithms suitable for the extended spatial modulation system are described, respectively. Then a block detection algorithm based on linear equalization is proposed. The detection performance of the algorithm is better and the complexity of the algorithm can be reduced by at least 50% compared with ML. In order to further reduce the detection complexity, the algorithm is improved, and a block linear equalization detection algorithm based on sorting is obtained. The simulation results show that the improved algorithm can also obtain the detection performance close to the maximum likelihood. At the same time, the complexity is greatly reduced, so it is more practical in the extended spatial modulation system. The fifth chapter summarizes the research content of this paper and points out the research direction of spatial modulation technology in the future communication system.
【學(xué)位授予單位】：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)】：TN919.3

【共引文獻(xiàn)】

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1 付豪;;大規(guī)模MIMO系統(tǒng)的預(yù)編碼算法綜述[J];電訊技術(shù);2015年07期

2 胡景;;基于RFID技術(shù)的計(jì)算機(jī)身份認(rèn)證系統(tǒng)設(shè)計(jì)[J];計(jì)算機(jī)測(cè)量與控制;2014年10期

3 黃舜堯;黃生葉;;成簇?zé)o線傳感網(wǎng)中能量高效的協(xié)作通信[J];計(jì)算機(jī)工程與應(yīng)用;2015年15期

4 田園;孔祥杰;惠煌;;數(shù)值仿真與模型分析相結(jié)合的無線/移動(dòng)通信課程教學(xué)方法[J];實(shí)驗(yàn)室研究與探索;2013年11期

5 胡禮;王世練;劉芳平;;多速率突發(fā)GMSK信號(hào)全數(shù)字盲解調(diào)器[J];通信技術(shù);2015年08期

6 陳凱;曹海燕;湯麗梅;;基于Simulink的平坦瑞利衰落信道的建模與性能分析[J];無線互聯(lián)科技;2014年05期

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2 紀(jì)純妹;基于模擬退火的多小區(qū)OFDMA系統(tǒng)資源分配[D];華南理工大學(xué);2011年

3 張仿琪;毫米波無線通信系統(tǒng)在高速磁浮交通中的應(yīng)用[D];復(fù)旦大學(xué);2011年

4 楊曉峰;基于嵌入式Linux的小型無人直升機(jī)實(shí)時(shí)定位的研究[D];安徽理工大學(xué);2013年

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6 鄒維辰;基于球形譯碼的MIMO系統(tǒng)信號(hào)檢測(cè)算法的研究[D];江蘇科技大學(xué);2013年

7 房勝;大規(guī)模MIMO系統(tǒng)的頻譜效率和導(dǎo)頻污染問題研究[D];杭州電子科技大學(xué);2014年

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