本文關(guān)鍵詞：大規(guī)模MIMO檢測技術(shù)研究與仿真　出處：《電子科技大學》2015年碩士論文　論文類型：學位論文

  更多相關(guān)文章： 大規(guī)模多輸入多輸出 空分復用 空間調(diào)制 檢測

【摘要】：大規(guī)模多輸入多輸出(Large-scale Multi-Input Multi-Output,Large MIMO)傳輸技術(shù)在傳統(tǒng)的多天線傳輸技術(shù)基礎(chǔ)上,將收發(fā)天線數(shù)增大至幾十甚至成百上千根,使得系統(tǒng)具有更大的系統(tǒng)容量和更高的頻譜效率,成為當前無線通信領(lǐng)域的重要研究課題之一。在多天線傳輸技術(shù)中,空分復用(Spatial Multiplexing)和空間調(diào)制(Spatial Modulation)是其兩個重要分支,同樣也是適用于大規(guī)模多輸入多輸出系統(tǒng)的空域技術(shù)�？辗謴陀眉夹g(shù)具有較高的數(shù)據(jù)傳輸速率和系統(tǒng)信道容量,但天線信道間干擾(Inter Channel Interference,ICI)嚴重,系統(tǒng)接收機檢測復雜度高�？臻g調(diào)制技術(shù)在傳統(tǒng)的信息比特調(diào)制基礎(chǔ)上擴展了空間維度,建立了發(fā)射天線的索引信息與輸入的空間比特之間的映射關(guān)系,實現(xiàn)空間和星座符號的多維調(diào)制,與傳統(tǒng)的多天線傳輸技術(shù)相比,空間調(diào)制系統(tǒng)減小了天線信道間干擾,縮減了發(fā)射端射頻支出,降低了接收端系統(tǒng)檢測復雜度等特點,已成為多天線傳輸技術(shù)的研究熱點之一。本論文在傳統(tǒng)多輸入多輸出傳輸技術(shù)基礎(chǔ)上,分別研究了基于空分復用和基于空間調(diào)制的大規(guī)模多輸入多輸出傳輸系統(tǒng)接收端檢測技術(shù),探討其優(yōu)化算法并且針對兩種系統(tǒng)分別提出了新型的檢測方案。本論文的具體工作可以歸納如下:第一章介紹了基于空分復用、空時分集和空間調(diào)制的MIMO系統(tǒng)模型和數(shù)學描述,并介紹了本文的主要工作和內(nèi)容。第二章簡述垂直分層空時結(jié)構(gòu)(Vertical Bell Labs Layered Space-Time,V-BLAST)和空間調(diào)制兩種多天線傳輸技術(shù)下的接收端檢測算法,并對這兩類多天線傳輸技術(shù)的接收端性能進行仿真,比較誤比特率性能并加以理論分析。第三章探討基于空分復用的大規(guī)模MIMO檢測技術(shù),一方面歸納總結(jié)該系統(tǒng)接收端的線性檢測和近最大似然檢測算法,并給出各種算法的計算復雜度和仿真比較誤比特率性能,另一方面提出一種新型的匹配濾波干擾抵消檢測算法,該算法適用于特殊的天線配置結(jié)構(gòu),通過理論分析和仿真,比較改進算法與傳統(tǒng)匹配濾波干擾抵消檢測的誤比特率性能。第四章探討基于空間調(diào)制的大規(guī)模MIMO檢測技術(shù),首先針對大規(guī)�？臻g調(diào)制多天線傳輸系統(tǒng)提出了一種基于星座圖降階的高效檢測算法,再針對大規(guī)模廣義空間調(diào)制多天線傳輸系統(tǒng)提出了新型近最大似然檢測算法,最后通過理論分析并基于MATLAB仿真,比較各種檢測算法的誤比特率性能和算法的計算復雜度。第五章對全文工作內(nèi)容進行總結(jié),并指出未來可能的研究方向。
[Abstract]:Large scale large scale Multi-Input Multi-Output. Based on the traditional multi-antenna transmission technology, the Large Mimo transmission technology increases the number of transceiver antennas to tens or even hundreds. Making the system have greater system capacity and higher spectral efficiency, it has become one of the most important research topics in the field of wireless communication. In the multi-antenna transmission technology. Spatial Multiplexing and Spatial Modulation are two important branches. Spatial division multiplexing technology is also suitable for large scale multiple-input multiple-output systems. Spatial division multiplexing technology has high data transmission rate and system channel capacity. However, the inter Channel interference is very serious. The spatial modulation technology extends the spatial dimension based on the traditional information bit modulation and establishes the mapping relationship between the index information of the transmitting antenna and the input spatial bits. Compared with the traditional multi-antenna transmission technology, the spatial modulation system can reduce the inter-channel interference of antenna and reduce the RF expenditure of the transmitter. It has become one of the hotspots in the research of multi-antenna transmission technology. This paper is based on the traditional multi-input and multi-output transmission technology. The receiver detection technology of large scale multi-input multi-output transmission system based on space division multiplexing and spatial modulation is studied respectively. Discuss its optimization algorithm and propose a new detection scheme for the two systems. The specific work of this paper can be summarized as follows: the first chapter introduces based on space division multiplexing. MIMO system model and mathematical description of space-time diversity and spatial modulation. The main work and contents of this paper are introduced. Chapter two briefly describes Vertical Bell Labs Layered Space-Time with vertical layered space-time structure. V-BLAST) and spatial modulation multi-antenna transmission technology under the receiver detection algorithm, and the performance of these two kinds of multi-antenna transmission technology is simulated. The performance of bit error rate is compared and analyzed theoretically. Chapter 3 discusses the large scale MIMO detection technology based on space-division multiplexing. On the one hand, it summarizes the linear detection and near-maximum likelihood detection algorithms of the receiver of the system. The computational complexity and bit error rate performance of various algorithms are given. On the other hand, a new matching filter interference cancellation detection algorithm is proposed, which is suitable for special antenna configuration. Through theoretical analysis and simulation, the BER performance of improved algorithm and traditional matched filter interference cancellation detection is compared. Chapter 4th discusses the large scale MIMO detection technology based on spatial modulation. Firstly, an efficient detection algorithm based on constellation reduction is proposed for large scale spatial modulation multi-antenna transmission systems. Then a new near-maximum likelihood detection algorithm is proposed for large scale generalized spatial modulation multi-antenna transmission system. Finally, through theoretical analysis and simulation based on MATLAB. The BER performance of various detection algorithms and the computational complexity of the algorithms are compared. Chapter 5th summarizes the work of this paper and points out the possible research directions in the future.
【學位授予單位】：電子科技大學
【學位級別】：碩士
【學位授予年份】：2015
【分類號】：TN919.3

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