【摘要】：本文主要是對MIMO-OFDM系統(tǒng)中信道估計(jì)技術(shù)的研究與實(shí)現(xiàn)。全文分為以下三個部分:第一部分主要是對MIMO-OFDM系統(tǒng)基本原理及信道特性進(jìn)行研究。首先,對MIMO-OFDM系統(tǒng)的基本原理進(jìn)行研究,然后對無線信道的大尺度和小尺度衰落特性進(jìn)行研究,最后對ZhengXiao信道模型的統(tǒng)計(jì)特性進(jìn)行研究,并根據(jù)本文的分析選擇該信道模型作為研究的基礎(chǔ)。第二部分主要是對MIMO-OFDM系統(tǒng)中信道估計(jì)算法進(jìn)行研究與仿真。首先對基于導(dǎo)頻的信道估計(jì)算法原理進(jìn)行研究,其中包括LS、LMMSE、SVD-LMMSE估計(jì)算法及幾種常用的數(shù)據(jù)插值算法;然后對基于EM(Expectation Maximum,EM)算法的信道估計(jì)算法進(jìn)行研究;最后搭建天線配置為4×4的MIMO-OFDM系統(tǒng)仿真平臺,在導(dǎo)頻間隔為6的情況下,對上述各種信道估計(jì)算法進(jìn)行仿真,并對仿真結(jié)果進(jìn)行對比分析;同時還對導(dǎo)頻間隔為4情況下的EM信道估計(jì)算法進(jìn)行仿真。仿真結(jié)果表明,EM信道估計(jì)算法與LMMSE信道估計(jì)算法同樣具有很好的估計(jì)性能,而且兩種不同導(dǎo)頻間隔下的EM信道估計(jì)算法MSE性能相當(dāng)。第三部分主要是基于FPGA硬件平臺對信道估計(jì)算法進(jìn)行實(shí)現(xiàn)�？紤]到算法硬件實(shí)現(xiàn)復(fù)雜度和頻譜利用率,本文選擇導(dǎo)頻間隔為6條件下的3次迭代EM信道估計(jì)算法在FPGA硬件平臺上進(jìn)行實(shí)現(xiàn)。在硬件實(shí)現(xiàn)過程中,首先設(shè)計(jì)了信道估計(jì)模塊的硬件整體實(shí)現(xiàn)結(jié)構(gòu),并且對其中的各個功能子模塊進(jìn)行設(shè)計(jì);然后,在FPGA平臺上對各個功能子模塊進(jìn)行仿真,完成整個信道估計(jì)模塊的FPGA實(shí)現(xiàn);最后,對軟硬件仿真結(jié)果進(jìn)行對比和誤差分析,并給出整個模塊的FPGA資源消耗報(bào)表,通過誤差結(jié)果分析,驗(yàn)證了EM信道估計(jì)模塊的邏輯功能正確性;通過資源消耗綜合報(bào)表,驗(yàn)證了EM信道估計(jì)模塊的邏輯可行性。
[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.
【學(xué)位授予單位】：電子科技大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2017
【分類號】：TN919.3;TN929.53

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本文編號：2380538