本文關(guān)鍵詞：LTE-A系統(tǒng)下行鏈路MIMO檢測(cè)的研究與實(shí)現(xiàn)　出處：《電子科技大學(xué)》2014年碩士論文　論文類型：學(xué)位論文

  更多相關(guān)文章： MIMO OFDM LTE-A 信道估計(jì) 信號(hào)檢測(cè) FPGA

【摘要】：MIMO-OFDM技術(shù)廣泛應(yīng)用于現(xiàn)代無(wú)線通信系統(tǒng)中,本文主要研究了應(yīng)用于LTE/LTE-A系統(tǒng)下行物理層的MIMO檢測(cè)相關(guān)算法與FPGA實(shí)現(xiàn)。本文首先介紹了移動(dòng)通信發(fā)展歷程和LTE/LTE-A系統(tǒng)技術(shù)背景概況,闡述了LTE/LTE-A系統(tǒng)中MIMO檢測(cè)的研究意義和現(xiàn)狀。接著介紹了LTE-A系統(tǒng)下行物理層的一些基本原理和關(guān)鍵技術(shù),包括下行物理層FDD幀格式和資源映射原理,調(diào)制原理與軟信息解調(diào)算法,小區(qū)專用參考信號(hào)的產(chǎn)生原理和映射規(guī)則,OFDM技術(shù)原理,MIMO技術(shù)中的層映射和預(yù)編碼,以及擴(kuò)展IUT信道模型等。然后基于應(yīng)用于LTE-A系統(tǒng)的MIMO-OFDM系統(tǒng)和多徑衰落模型,研究了MIMO檢測(cè)相關(guān)算法。分別對(duì)MIMO檢測(cè)中的導(dǎo)頻信道估計(jì)算法、數(shù)據(jù)信道插值算法和信號(hào)檢測(cè)算法展開研究。導(dǎo)頻信道估計(jì)研究了LS估計(jì)算法、MMSE估計(jì)算法和LMMSE估計(jì)算法;數(shù)據(jù)信道插值研究了常值插值算法、線性插值算法和拉格朗日插值算法;信號(hào)檢測(cè)研究了ML檢測(cè)算法、ZF檢測(cè)算法、MMSE檢測(cè)算法、OSIC檢測(cè)算法和SD檢測(cè)算法�；贛atlab搭建了LTE-A下行物理層MIMO檢測(cè)仿真鏈路平臺(tái),在EPA信道模型和EVA信道模型中QPSK、16QAM和64QAM三種調(diào)制模式下,分別地對(duì)三種信道估計(jì)算法、三種信道插值算法和五種信號(hào)檢測(cè)算法進(jìn)行了仿真對(duì)比和性能分析。從性能和實(shí)現(xiàn)復(fù)雜度折中考慮,最后以LS估計(jì)算法、線性插值算法和ZF檢測(cè)算法作為L(zhǎng)TE-A下行物理層MIMO檢測(cè)的實(shí)現(xiàn)算法,設(shè)計(jì)了MIMO檢測(cè)的硬件實(shí)現(xiàn)架構(gòu)方案。對(duì)MIMO檢測(cè)的本地參考信號(hào)生成、LS估計(jì)、線性插值和ZF均衡等四個(gè)子模塊的硬件實(shí)現(xiàn)結(jié)構(gòu)分別進(jìn)行了詳細(xì)闡述�；赬ilinx公司的高性能Kintex-7系列FPGA芯片XC7K325T對(duì)MIMO檢測(cè)模塊進(jìn)行了硬件實(shí)現(xiàn),并且通過(guò)Modelsim的功能仿真定點(diǎn)運(yùn)算結(jié)果與Matlab仿真浮點(diǎn)運(yùn)算結(jié)果對(duì)比驗(yàn)證了實(shí)現(xiàn)的正確性。MIMO檢測(cè)模塊經(jīng)過(guò)綜合后資源使用控制在20%以內(nèi),最大運(yùn)行頻率273.148MHz。在20MHz系統(tǒng)帶寬配置和245.76MHz系統(tǒng)時(shí)鐘條件下,64QAM調(diào)制的吞吐率達(dá)到100.91Mbps,性能分析結(jié)果表明本文實(shí)現(xiàn)的MIMO檢測(cè)模塊能夠滿足項(xiàng)目需求。
[Abstract]:MIMO-OFDM technology is widely used in modern wireless communication systems. This paper mainly studies the related algorithms and FPGA implementation of MIMO detection applied to the downlink physical layer of LTE/LTE-A system. Firstly, this paper introduces the development history of mobile communication and LTE/LTE-A. Background of system technology. In this paper, the significance and present situation of MIMO detection in LTE/LTE-A system are described. Then, some basic principles and key technologies of downlink physical layer of LTE-A system are introduced. It includes downlink physical layer FDD frame format and resource mapping principle, modulation principle and soft information demodulation algorithm, cell specific reference signal generation principle and mapping rule. Layer mapping and precoding in MIMO technology, and extended IUT channel model, etc. Then based on MIMO-OFDM system and multipath fading model applied to LTE-A system. The related algorithms of MIMO detection are studied. Pilot channel estimation algorithm, data channel interpolation algorithm and signal detection algorithm in MIMO detection are studied respectively. LS estimation algorithm is studied in pilot channel estimation. MMSE estimation algorithm and LMMSE estimation algorithm; Data channel interpolation includes constant interpolation algorithm, linear interpolation algorithm and Lagrange interpolation algorithm. The ML detection algorithm, ZF detection algorithm and MMSE detection algorithm are studied in signal detection. OSIC detection algorithm and SD detection algorithm. Based on Matlab, the LTE-A downlink MIMO detection simulation link platform is built. In the EPA channel model and the EVA channel model, three channel estimation algorithms are proposed under the three modulation modes of QPSKKP16QAM and 64QAM. Three channel interpolation algorithms and five signal detection algorithms are compared and analyzed. Considering the performance and implementation complexity, the LS estimation algorithm is used. Linear interpolation algorithm and ZF detection algorithm are used as LTE-A downlink physical layer MIMO detection algorithm. The hardware architecture of MIMO detection is designed, and the LS estimation of the local reference signal of MIMO detection is presented. The hardware implementation structure of four sub-modules, linear interpolation and ZF equalization, are described in detail. High performance Kintex-7 Series FPGA Chip XC7K325T based on Xilinx Company. The hardware of the MIMO detection module is implemented. The simulation results of fixed point and floating-point operation of Modelsim are compared with those of Matlab, and the correctness of the implementation is verified. Within 20%. The maximum operating frequency is 273.148MHz. Under 20MHz system bandwidth configuration and 245.76MHz system clock condition. The throughput of 64QAM modulation is 100.91Mbpss. the performance analysis results show that the MIMO detection module can meet the requirements of the project.
【學(xué)位授予單位】：電子科技大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2014
【分類號(hào)】：TN929.5

【參考文獻(xiàn)】

相關(guān)碩士學(xué)位論文 前1條

1 王洋;MIMO-OFDM系統(tǒng)的信道估計(jì)算法研究[D];北京郵電大學(xué);2011年

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本文編號(hào)：1419213