本文關鍵詞： MIMO-OFDM 信道估計 均衡 VLSI實現(xiàn)　出處：《華東師范大學》2017年碩士論文　論文類型：學位論文

【摘要】：近幾十年來,無線通信深刻地影響了人們的生活方式,促進了社會的快速進步。同時,人們對更加美好生活的向往也不斷推動著無線通信技術朝著寬帶多媒體方向高速發(fā)展。在新一代無線通信中,OFDM技術和MIMO技術因其對無線信道特有的優(yōu)勢成為了核心技術,在通信領域中引起了廣泛的研究。其中,信道估計和均衡技術作為MIMO-OFDM系統(tǒng)中的重要組成部分,對無線通信系統(tǒng)的傳輸質(zhì)量有著直接的影響。本文主要研究對象是基于導頻的MIMO-OFDM信道估計及均衡。首先本文闡述了無線傳輸信道時頻域的特性,介紹了 MIMO和OFDM技術的原理。其次在分析了導頻分類的基礎上,介紹了基于導頻的信道估計及均衡算法。數(shù)據(jù)點信道估計主要有多項式插值估計、DFT估計和維納濾波估計;均衡算法主要有迫零算法和最小均方差算法。之后本文針對數(shù)據(jù)點的信道估計,提出了基于維納濾波與FEC迭代估計,利用糾錯碼的性能來修正估計的結果;另外提出了基于時頻域加窗的DFT改進算法,來抑制DFT估計中的頻譜泄漏及吉布斯效應,提升估計的準確性。然后在基于COST207標準中的TU6無線信道模型下,對本文中介紹和改進的信道估計算法進行MATLAB仿真,并分析比較幾種信道估計方法的性能。最后,借助FPGA這一硬件平臺,在QuartusⅡ平臺下,來完成基于導頻的MIMO-OFDM信道估計與均衡的VLSI實現(xiàn),并給出相應的仿真波形及硬件資源使用報告。
[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，

本文編號：1463308