【作者】 孙琳；

【导师】 赵冠男；

【作者基本信息】 辽宁师范大学 ， 光学， 2021， 硕士

【摘要】 现代科技发展日新月异,人们处在一个高速信息化的时代。伴随着科学技术的飞跃发展,人们对于通信技术的需求也日益增强,不断追求更快速、更高效率的通信方式。传统的多输入多输出(Multiple-Input Multiple-Output,MIMO)技术在收发两端均采用多根天线进行数据传输,MIMO充分的利用空间维度,因而其系统更可靠、频谱利用率更高;然而,MIMO系统存在着干扰性强等问题。因此,研究人员提出了空间调制(Spatial Modulation,SM)技术,该技术既保留了MIMO系统的传输性能,同时又解决了其存在的缺陷问题,成为现代无线通信技术研究的热门话题。SM技术的基本思想是每一时刻只激活一根发送天线,发送天线序号携带信息,与调制星座一起进行信息数据的传输。本文针对SM系统中的信号检测算法进行研究,重点研究如何提高检测性能的同时尽可能的降低计算复杂度。本文首先详细介绍了SM系统的基本原理及系统模型。然后,重点讨论了SM系统中常用的经典信号检测算法,并对这些算法进行了仿真实现,分析比较了这些算法的误码率性能和计算复杂度。最后,针对传统的球形译码(Sphere Decoding,SD)检测算法进行了深入的研究。为了在检测性能和计算复杂度之间折中,从信道增益和接收信号强度两个角度出发,给出了现有SD算法的改进算法。这些算法通过将信道矩阵或接收信号重新排序来改变传统SD算法的搜索树结构,在不增加计算复杂度的前提下,获得最优的检测性能,仿真结果表明验证了其有效性。更多还原

【Abstract】 Since modern science and technology are changing with each passing day,people are in an era of high-speed information.Therefore,the requirements communication technology of human beings is also increasing to pursue faster and more efficient communication methods.Traditional Multiple Input Multiple Output(MIMO)technology uses multiple antennas to combine each other at the transmitter and receiver for data transmission.MIMO makes full use of the communication space dimension to help people obtain a more reliable and more efficient communication system.However,it also has some problems such as strong interference etc..Consequently,researchers provide Spatial Modulation(SM)technique which not only retains the transmission performance of MIMO system but also solves its existing defects.Therefore,SM becomes a hot research topic of modern wireless communication technology.The basic idea of SM is that only one transmit antenna is activated.In SM,the index of transmit antenna and modulation constellation are used to transmit the information data.This thesis studies on the signal detection algorithms and focuses on how to improve detection performance as well as decreasing the computation complexity as much as possible.Firstly,this thesis introduce the theory and system model of SM in details.Then,it deeply discusses the classical signal detection algorithms.The bit error rate and computation complexity are analyzed and compared by simulation realization.Finally,for obtaining a tradeoff between detection performance and computation complexity,this thesis deeply researches on the sphere decoding algorithm(SD)by changing the sort of channel matrix or received signal strength.These algorithms have a different search tree structure so that they can obtain better detection performance without increasing computation complexity.The simulation results indicates the effectiveness of these algorithms.更多还原