MIMO-OFDM系统中信道估计算法研究与实现
发布时间：2018-12-15 11:13
【摘要】：本文主要是对MIMO-OFDM系统中信道估计技术的研究与实现。全文分为以下三个部分:第一部分主要是对MIMO-OFDM系统基本原理及信道特性进行研究。首先,对MIMO-OFDM系统的基本原理进行研究,然后对无线信道的大尺度和小尺度衰落特性进行研究,最后对ZhengXiao信道模型的统计特性进行研究,并根据本文的分析选择该信道模型作为研究的基础。第二部分主要是对MIMO-OFDM系统中信道估计算法进行研究与仿真。首先对基于导频的信道估计算法原理进行研究,其中包括LS、LMMSE、SVD-LMMSE估计算法及几种常用的数据插值算法;然后对基于EM(Expectation Maximum,EM)算法的信道估计算法进行研究;最后搭建天线配置为4×4的MIMO-OFDM系统仿真平台,在导频间隔为6的情况下,对上述各种信道估计算法进行仿真,并对仿真结果进行对比分析;同时还对导频间隔为4情况下的EM信道估计算法进行仿真。仿真结果表明,EM信道估计算法与LMMSE信道估计算法同样具有很好的估计性能,而且两种不同导频间隔下的EM信道估计算法MSE性能相当。第三部分主要是基于FPGA硬件平台对信道估计算法进行实现。考虑到算法硬件实现复杂度和频谱利用率,本文选择导频间隔为6条件下的3次迭代EM信道估计算法在FPGA硬件平台上进行实现。在硬件实现过程中,首先设计了信道估计模块的硬件整体实现结构,并且对其中的各个功能子模块进行设计;然后,在FPGA平台上对各个功能子模块进行仿真,完成整个信道估计模块的FPGA实现;最后,对软硬件仿真结果进行对比和误差分析,并给出整个模块的FPGA资源消耗报表,通过误差结果分析,验证了EM信道估计模块的逻辑功能正确性;通过资源消耗综合报表,验证了EM信道估计模块的逻辑可行性。
[Abstract]:This paper mainly focuses on the research and implementation of channel estimation technology in MIMO-OFDM system. The thesis is divided into three parts as follows: the first part mainly studies the basic principle and channel characteristics of MIMO-OFDM system. Firstly, the basic principle of MIMO-OFDM system is studied, then the large scale and small scale fading characteristics of wireless channel are studied. Finally, the statistical characteristics of ZhengXiao channel model are studied. According to the analysis of this paper, the channel model is selected as the basis of the research. In the second part, the channel estimation algorithm in MIMO-OFDM system is studied and simulated. Firstly, the principle of channel estimation algorithm based on pilot frequency is studied, including LS,LMMSE,SVD-LMMSE estimation algorithm and several common data interpolation algorithms, then channel estimation algorithm based on EM (Expectation Maximum,EM algorithm is studied. Finally, the simulation platform of MIMO-OFDM system with 4 脳 4 antenna is set up. When the pilot interval is 6, the channel estimation algorithms mentioned above are simulated, and the simulation results are compared and analyzed. At the same time, the EM channel estimation algorithm with 4 pilot intervals is simulated. Simulation results show that the EM channel estimation algorithm has the same good performance as the LMMSE channel estimation algorithm, and the MSE performance of the two EM channel estimation algorithms with different pilot intervals is comparable. The third part is the implementation of channel estimation algorithm based on FPGA hardware platform. Considering the complexity of the algorithm hardware implementation and spectrum efficiency, this paper chooses the three-iteration EM channel estimation algorithm with pilot interval of 6 to be implemented on the FPGA hardware platform. In the process of hardware implementation, the hardware implementation structure of the channel estimation module is first designed, and each functional sub-module is designed. Then, each functional sub-module is simulated on the FPGA platform, and the FPGA implementation of the whole channel estimation module is completed. Finally, the software and hardware simulation results and error analysis are compared, and the FPGA resource consumption report of the whole module is given. The logic function of the EM channel estimation module is verified by the error analysis. The logic feasibility of the EM channel estimation module is verified by the comprehensive report of resource consumption.
【学位授予单位】：电子科技大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TN919.3;TN929.53
本文编号：2380538
[Abstract]:This paper mainly focuses on the research and implementation of channel estimation technology in MIMO-OFDM system. The thesis is divided into three parts as follows: the first part mainly studies the basic principle and channel characteristics of MIMO-OFDM system. Firstly, the basic principle of MIMO-OFDM system is studied, then the large scale and small scale fading characteristics of wireless channel are studied. Finally, the statistical characteristics of ZhengXiao channel model are studied. According to the analysis of this paper, the channel model is selected as the basis of the research. In the second part, the channel estimation algorithm in MIMO-OFDM system is studied and simulated. Firstly, the principle of channel estimation algorithm based on pilot frequency is studied, including LS,LMMSE,SVD-LMMSE estimation algorithm and several common data interpolation algorithms, then channel estimation algorithm based on EM (Expectation Maximum,EM algorithm is studied. Finally, the simulation platform of MIMO-OFDM system with 4 脳 4 antenna is set up. When the pilot interval is 6, the channel estimation algorithms mentioned above are simulated, and the simulation results are compared and analyzed. At the same time, the EM channel estimation algorithm with 4 pilot intervals is simulated. Simulation results show that the EM channel estimation algorithm has the same good performance as the LMMSE channel estimation algorithm, and the MSE performance of the two EM channel estimation algorithms with different pilot intervals is comparable. The third part is the implementation of channel estimation algorithm based on FPGA hardware platform. Considering the complexity of the algorithm hardware implementation and spectrum efficiency, this paper chooses the three-iteration EM channel estimation algorithm with pilot interval of 6 to be implemented on the FPGA hardware platform. In the process of hardware implementation, the hardware implementation structure of the channel estimation module is first designed, and each functional sub-module is designed. Then, each functional sub-module is simulated on the FPGA platform, and the FPGA implementation of the whole channel estimation module is completed. Finally, the software and hardware simulation results and error analysis are compared, and the FPGA resource consumption report of the whole module is given. The logic function of the EM channel estimation module is verified by the error analysis. The logic feasibility of the EM channel estimation module is verified by the comprehensive report of resource consumption.
【学位授予单位】：电子科技大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TN919.3;TN929.53
【参考文献】
相关硕士学位论文 前1条
1 翁方华;3GPP-LTE系统下行链路信道估计技术研究[D];北京邮电大学;2011年
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