基于空间调制的新型MIMO传输技术研究

发布时间：2018-07-02 14:49

本文选题：空间调制 + 映射　；参考：《电子科技大学》2014年硕士论文

【摘要】：多输入多输出(Multiple Input Multiple Output,MIMO)是一种在系统发射端和接收端配置多根天线的传输技术,该技术因其较高的数据传输率和频谱利用率而成为移动通信系统中的关键技术之一。空间调制是近年来提出的一种新型MIMO传输技术,该技术利用空间维度,使发射端在每个时隙只选择一根天线发送数据符号,因此能够有效地避免天线间的符号干扰及同步问题,同时,通过将一部分信息隐含于发射天线的选择中而使系统的频谱效率得到了一定的保证,并且,该技术在接收端的检测复杂度也较低,十分适用于接收天线数小于发射天线数的非对称多天线系统。目前,空间调制技术已受到广泛关注,成为了MIMO系统的重要研究方向之一。本论文从发射端和接收端出发,分别研究了空间调制系统的映射方法和软输入软输出迭代检测算法,并对空间调制技术进行了拓展和研究,使其更好地适应未来无线通信系统的发展要求。本论文的主要研究工作具体如下:第一章对MIMO传输技术的发展现状和空间调制系统的研究成果进行了基本的概括。第二章主要研究了空间调制系统发射端的映射方法,分别在正交幅度调制、多元相移键控和多元幅移键控下分析和描述了适用于不同调制方式的空间调制映射准则。第三章首先阐述了Turbo均衡系统的基本原理,其次将空间调制技术与Turbo均衡系统进行了结合,以软输入软输出迭代检测来获得更优的性能,接着对适用于编码的空间调制系统中几种典型的迭代检测算法进行了描述,最后提出了一种基于等效欧式距离的迭代软检测算法,该算法与最大似然迭代检测算法相比,检测性能只有较小的损失,但复杂度得到了较大幅度的降低,具有重要的实用意义。第四章对拓展的空间调制技术进行了概述,并且针对接收端的检测算法进行了研究,分别描述了适用于拓展的空间调制系统的最大似然和球形译码检测算法,然后提出了一种基于线性均衡的分块检测算法,该算法检测性能较优,复杂度与ML相比至少能降低50%。为进一步降低检测复杂度,对该算法进行了改进,得到了一种基于排序的分块线性均衡检测算法,仿真结果表明改进的算法也能获得接近最大似然的检测性能,同时复杂度也得到了更大幅度的降低,从而在拓展的空间调制系统中其实用性较强。第五章对全文的研究内容进行了总结,同时指出了空间调制技术在未来通信系统中发展的研究方向。
[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.
【学位授予单位】：电子科技大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TN919.3

【共引文献】