MIMO-OFDM信道估计和均衡算法及VLSI实现研究

发布时间：2018-01-25 17:30

  本文关键词： MIMO-OFDM 信道估计 均衡 VLSI实现　出处：《华东师范大学》2017年硕士论文　论文类型：学位论文

【摘要】：近几十年来,无线通信深刻地影响了人们的生活方式,促进了社会的快速进步。同时,人们对更加美好生活的向往也不断推动着无线通信技术朝着宽带多媒体方向高速发展。在新一代无线通信中,OFDM技术和MIMO技术因其对无线信道特有的优势成为了核心技术,在通信领域中引起了广泛的研究。其中,信道估计和均衡技术作为MIMO-OFDM系统中的重要组成部分,对无线通信系统的传输质量有着直接的影响。本文主要研究对象是基于导频的MIMO-OFDM信道估计及均衡。首先本文阐述了无线传输信道时频域的特性,介绍了 MIMO和OFDM技术的原理。其次在分析了导频分类的基础上,介绍了基于导频的信道估计及均衡算法。数据点信道估计主要有多项式插值估计、DFT估计和维纳滤波估计;均衡算法主要有迫零算法和最小均方差算法。之后本文针对数据点的信道估计,提出了基于维纳滤波与FEC迭代估计,利用纠错码的性能来修正估计的结果;另外提出了基于时频域加窗的DFT改进算法,来抑制DFT估计中的频谱泄漏及吉布斯效应,提升估计的准确性。然后在基于COST207标准中的TU6无线信道模型下,对本文中介绍和改进的信道估计算法进行MATLAB仿真,并分析比较几种信道估计方法的性能。最后,借助FPGA这一硬件平台,在QuartusⅡ平台下,来完成基于导频的MIMO-OFDM信道估计与均衡的VLSI实现,并给出相应的仿真波形及硬件资源使用报告。
[Abstract]:In recent decades, wireless communication has deeply affected people's way of life and promoted the rapid progress of society. People's yearning for a better life also promotes the rapid development of wireless communication technology toward the direction of broadband multimedia. In the new generation of wireless communications. OFDM technology and MIMO technology have become the core technology because of their unique advantages to wireless channel, which has caused a wide range of research in the field of communication. Channel estimation and equalization is an important part of MIMO-OFDM system. This paper mainly studies the MIMO-OFDM channel estimation and equalization based on pilot frequency. Firstly, this paper describes the characteristics of wireless transmission channel in time and frequency domain. . The principle of MIMO and OFDM technology is introduced. Secondly, based on the analysis of pilot classification, the channel estimation and equalization algorithm based on pilot frequency are introduced. The data point channel estimation mainly includes polynomial interpolation estimation. DFT estimation and Wiener filter estimation; The equalization algorithms mainly include zero-forcing algorithm and minimum mean-variance algorithm. Then, based on Wiener filter and FEC iterative estimation, the estimation results are modified by the performance of error-correcting codes. In addition, an improved DFT algorithm based on windowing in time-frequency domain is proposed to suppress spectrum leakage and Gibbs effect in DFT estimation. Then under the TU6 wireless channel model based on COST207 standard, the proposed and improved channel estimation algorithm is simulated by MATLAB. The performance of several channel estimation methods is analyzed and compared. Finally, with the help of FPGA hardware platform, under the Quartus 鈪，

本文编号：1463308