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研究生: 鄭永霖
Cheng, Yung-Ling
論文名稱: Wideband Video Transmission using Adaptive Modulation in MIMO OFDM System
使用可適性調變多輸入多輸出系統之寬頻視訊傳輸
指導教授: 黃元豪
Huang, Yuan-Hao
口試委員:
學位類別: 碩士
Master
系所名稱: 電機資訊學院 - 電機工程學系
Department of Electrical Engineering
論文出版年: 2009
畢業學年度: 98
語文別: 中文
論文頁數: 68
中文關鍵詞: 可適性調變
相關次數: 點閱:4下載:0
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  • 論文摘要
    本論文是參考歐規數位電視地面廣播(DVB-T) 標準來改成一套4x4的傳送機架構、並提出基頻等效通道模型與設計一套基頻接收機架構。由於在無線通訊環境中, 有不少的非理想效應存在, 故我們所設計的基頻等效通道模型包含多路徑衰減通道(Multipath Fading Channel)
    、加成性白色高斯雜訊(Additive White Gaussian Noise, AWGN) 與載波頻率漂移(Carrier Frequency Offset, CFO) 等效應。對於接收端的架構設計, 主要分為三部份, 擷取, 追蹤補償與資料回復。這三部份總共包含有符元時間偵測、載波頻率漂移之擷取、補償
    和追蹤、傅立葉(FFT) 處理器、通道估測與補償、K-BEST 偵測器、映射器、維特比解碼器(Viterbi Decoder) 、和里得所羅門解碼器(Reed-Solomon Decoder) 。本論文也提出一個可適性調變機制, 根據不同通道狀況相對應的LLR 值去做不同的調變機制。可適性調變包
    含了六種調變方式, 分別為64QAM , 64HQAM(alpha = 2, beta = 1) , 64HQAM(alpha = 4, beta = 1) ,64HQAM(alpha = 2, beta = 2) , 64HQAM(alpha = 4,beta = 2) , 64HQAM(alpha = 4,beta = 4) 。alpha和beta是兩個在階層調便中所使用的參數。而資料分割可以將影像根據不同的重要性來區分成三部份。
    故我們可以使用資料分割搭配階層調變來達到不同保護機制傳輸, 並且可以使用可適性調變方法在不同的通道條件下達到比較好的PSNR 值, 影像也呈現出很好的效果。


    Abstract
    In the design for a 4×4 transmitter according to DVB-T SPEC, we proposed a baseband
    equivalent channel model and designed a baseband receiver. The baseband equivalent
    channel model includes multipath fading channel, additive white Gaussian noise(AWGN)
    and carrier frequency offset. The receiver consist of symbol timing detection, CFO
    estimation, FFT processor, channel estimation, K-BEST detector, demapper, Viterbi
    decoder and Reed-Solomon decoder. Besides, we design of adaptive modulation based
    on LLR under different channel condition. The adaptive modulation use six modulation
    schemes which are 64QAM, 64HQAM(α = 2,β = 1), 64HQAM(α = 4,β = 1),
    64HQAM(α = 2,β = 2), 64HQAM(α = 4,β = 2), 64HQAM(α = 4,β = 4), where
    and are two parameters in hierarchical modulation. The video data is divided into
    three parts according to their importance. Therefore, data partition, hierarchical modulation
    and adaptive modulation improve PSNR significantly under different channel
    conditions.

    1 緒論1 1.1 研究動機 1.2 數位影像廣播的介紹 1.3 影像壓縮技術介紹 1.4 論文組織介紹 2 正交分頻多工調變與H.264/AVC 2.1 正交分頻多工調變(OFDM) 介紹 2.2 多輸入與多輸出技術(Multiple Input Multiple Output Technology) 2.3 H.264視訊壓縮標準簡介 2.3.1 視訊編碼層(Video Coding Layer, VCL) 2.3.2 網路提取層(Network Abstraction Layer) 2.4 H.264錯誤防範機制 2.4.1 參數集架構(Parameter Set Structure) 2.4.2 資料分割(Data Partitioning) 2.5 影像傳輸(Video Transmission) 3 傳送端系統架構設計17 3.1 方塊圖(Block Diagram) 3.2 里德所羅門編碼器(Reed-Solomon Encoder) 3.3 迴旋乘積編碼器(Convolutional Encoder) 3.4 內交錯器(Inner Interleaver) 3.5 訊號星狀圖及標繪(Signal Constellation and Mapping) 3.6 正交分頻多工調變(OFDM Modulation) 4 基頻通道33 4.1 方塊圖(Block Diagram) 4.2 通道模型(Channel Model) 4.3 加成性白色高斯雜訊(AWGN) 4.4 載波頻率漂移(Carrier Frequency Offset) 5 接收端系統架構設計37 5.1 方塊圖(Block Diagram) 5.2 符元時間偵測(Symbol Timing Detection) 5.3 載波頻率漂移之擷取(CFO Acquisition) 5.3.1 分數載波頻率漂移擷取(Fractional CFO Acquisition) 5.3.2 整數載波頻率漂移擷取(Integer CFO Acquisition) 5.4 載波頻率漂移之追蹤(CFO Tracking) 5.5 載波頻率漂移之補償(CFO Compensation) 5.6 通道估測(Channel Estimation) 5.7 多輸入多輸出偵測器(MIMO Detector) 5.8 可適性調變(Adaptive Modulation) 5.8.1 Log Likehood Ratio(LLR) 5.9 決策單元(De-Mapper) 5.10 內反交錯器(Inner De-Interleaver) 5.11 維特比解碼器(Viterbi Decoder) 5.12 里德所羅門解碼器(Reed-Solomon Decoder) 6 系統模擬(Simulaion) 6.1 H.264/AVC軟體設定 6.2 系統設定 6.3 模擬分析 7 結論及展望

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