在多重輸入多重輸出(Multiple-Input Multiple-Output, MIMO)多天線的正交分頻多工(Orthogonal Frequency Division Multiplexing, OFDM)系統中使用空頻區塊碼(Space Frequency Block Coding, SFBC)的架構下，針對多根傳送天線分別降低峰均值功率比值(Peak-to-Average Power Ratio, PAPR)，提出兩個在傳送端簡化運算複雜度的新架構。依照SFBC架構M根傳送天線下編碼的特性，分別藉由時域上不同的轉換向量(Conversion Vector)與訊號的環形旋積(Circular Convolution)與縮小反快速傅立葉轉換(Inverse Fast Fourier Transform, IFFT)運算器的兩種方式得到，可等間隔分離出頻域上的子載波群(Subcarrier Groups)，因此可在時域上進行SFBC編碼運算，藉由與U個不同的子載波群，在時域上做不同循環位移(Cyclic Shifts)與相位旋轉(Phase Rotations)的組合在不增加IFFT運算器個數的情況下，產生出P組不同PAPR值的候選訊號，用以取代SFBC MIMO-OFDM架構在傳統SLM(Selected Mapping)方法上產生P組候選訊號將所需付出MP個IFFT運算器的高運算複雜度，然而在損失極小降PAPR的系統效能下，大幅的減低系統運算複雜度。

In multiple-input multiple-output (MIMO) orthogonal frequency division multiplexing (OFDM) system which was used space frequency block coding (SFBC) method. It order to reduce the peak-to-average power ratio in several transmit antennas. We proposed two new architectures to simply the computational complexity on transmitter. According to the characteristics of SFBC structure which have M transmitter antennas. We can decomposed the interleaving subcarrier groups by used conversion vector to circular convolution with signal vector and shrink the inverse fast Fourier transform (IFFT) points. Therefore it can do the SFBC coding operation in time domain. By using combination of different cyclic shifts and phase rotations in U subcarrier groups can generate the P candidate signals. And it wouldn’t increase the number of IFFT. The proposed transmitter architectures can improve the major drawback of high computational complexity in traditional selected mapping (SLM). The traditional SLM generate the P candidate signals needs MP IFFT units. Then in the condition of lose a little PAPR reduction performance, we can save the most of computational complexity.

目錄
第一章 導論 1
1.0 引言 1
1.1 研究背景 1
1.2 研究動機 2
1.3 論文架構 3
第二章 系統架構 4
2.0 引言 4
2.1 正交分頻多工系統的架構 4
2.2 SFBC MIMO-OFDM系統架構 6
2.4 OFDM訊號的峰均值功率比 11
第三章 SFBC架構下常見的降低PAPR方法 15
3.0 引言 15
3.1 SELECTED MAPPING 15
3.2 POLYPHASE INTERLEAVING AND INVERSION 17
3.3 AMPLITUDE CLIPPING AND ITERATIVE RECONSTRUCTION OF CLIPPED SIGNALS 20
第四章 低複雜度SFBC MIMO-OFDM傳送端架構 21
4.0 引言 21
4.1 系統上的時域特性 21
4.2 低複雜度系統架構 31
4.2.1 低複雜度傳送端架構一 31
4.2.2低複雜度傳送端架構二 35
4.3利用時域特性降低PAPR的方法 36
第五章 系統架構的複雜度分析 43
5.0引言 43
5.1不同架構的複雜度分析 43
5.1.1 低複雜度傳送端架構一 44
5.1.2低複雜度傳送端架構二 45
5.2候選訊號複雜度分析 46
第六章 PAPR效能模擬分析 50
6.0 引言 50
6.1 循環位移法效能模擬 50
6.2 利用相位旋轉法效能模擬 52
第七章 結論 54
中英對照表 55
全名縮寫對照表 58
參考文獻 60

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