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系統識別號 U0026-1308201600180500
論文名稱(中文) 應用於偏移正交振幅調變濾波器組多載波系統中基於最小均方誤差準則之線性與非線性等化器
論文名稱(英文) Linear and Non-linear Equalization for FBMC/OQAM Systems Based on the Criterion of Minimum Mean Square Error
校院名稱 成功大學
系所名稱(中) 電腦與通信工程研究所
系所名稱(英) Institute of Computer & Communication
學年度 104
學期 2
出版年 105
研究生(中文) 陳俊廷
研究生(英文) Chun-Ting Chen
學號 Q36034544
學位類別 碩士
語文別 中文
論文頁數 77頁
口試委員 指導教授-賴癸江
口試委員-蘇賜麟
口試委員-張名先
口試委員-劉宗憲
口試委員-黃婉甄
中文關鍵字 濾波器組多載波  偏移正交振幅調變  等化  最小均方誤差  決策回授  符元間干擾  子通道間干擾 
英文關鍵字 filter bank multicarrier  offset quadrature amplitude modulation  equalization  minimum mean square error  linear equalization  decision feedback equalization  inter-symbol interference  inter-carrier interference 
學科別分類
中文摘要 在以偏移正交振幅調變為基礎的濾波器組多載波系統中,多重路徑通道造成的符元間干擾與子通道間干擾對偵測器之效能通常有很大的影響,因此需要等化器以緩解干擾。本論文以基於最小均方誤差準則之線性等化器及非線性的決策回授等化器為主軸,進行等化器係數的推導及探討等化器係數性質。由於偏移正交振幅調變訊號在時間軸上為純實數符元與純虛數符元交錯的訊號,故等化器最直接的做法為對這兩類符元分別去計算等化係數。本論文利用數學證明以下結果:在最小均方誤差線性等化器中,純實數的符元和純虛數的符元所需之等化器係數為相同的。在決策回授等化器中,純實數符元和純虛數符元所需之前饋濾波器的係數是相同的;但是在回授濾波器的部分,這兩類符元所推導出來的係數在奇數階的地方會相差一個負號、而在偶數階的地方係數則是完全相同。由於在計算此兩種等化器係數時,最主要的複雜度來自於反矩陣的運算,因此利用本論文推導出的等化器性質可以只針對其中一類符元計算係數,而另一類符元的係數則以此性質適當改變後直接使用,故可大幅降低運算的複雜度。
英文摘要 Filter bank multicarrier (FBMC) systems based on offset quadrature amplitude modulation (OQAM) suffer from the inter-symbol interference (ISI) and inter-carrier interference (ICI) in multipath channels and call for equalization to mitigate these effects. In the thesis, we focus on the design of the linear equalizer (LE) and decision feedback equalizer (DFE) that are based on the minimum mean square error (MMSE) criterion. Because the real and imaginary parts of the quadrature amplitude modulation (QAM) symbol are staggered in time in the OQAM scheme, the most straightforward way in equalizer design is to compute the equalizers separately – one for the real part and the other for the imaginary part. In the thesis, we prove the following properties of the equalizer coefficients. For the LE, the equalizer coefficients for the real part are identical to those for the imaginary part. For the DFE, the feedforward filters for the real and imaginary parts are identical. As to the feedback filters, the coefficients of the even-indexed taps for the real part are identical to those of the respective taps for the imaginary part, while the coefficients of the odd-indexed taps for the real part negates those of the respective taps for the imaginary part. Since the computation of the equalizer coefficients requires matrix inversion and dominates the equalizer complexity, the properties proved in the thesis can be used to significantly reduce the computation complexity of the equalizer coefficients.
論文目次 中文摘要 I
Extended Abstract II
誌謝 V
目錄 VI
表目錄 VIII
圖目錄 IX
第一章 導論 1
1.1 前言 1
1.2 研究動機與目的 1
1.3 章節介紹 2
1.4 論文貢獻 2
第二章 使用偏移正交振幅調變之濾波器組多載波系統 4
2.1 傳送模型 [2] 4
2.2 接收模型 9
2.3 原型濾波器 10
第三章 最小均方誤差線性等化器 14
3.1 最小均方誤差線性等化器 [3] 14
3.1.1 接收端後續訊號處理 17
3.2 等化器係數性質 18
3.3 最小均方誤差線性等化器係數推導( 為偶數) 18
3.3.1 當 為偶數(即 為偶數) 18
3.3.2 當 為奇數(即 為奇數) 25
3.4 最小均方誤差線性等化器係數推導( 為奇數) 32
3.4.1 當 為偶數(即 為奇數) 32
3.4.2 當 為奇數(即 為偶數) 36
第四章 決策回授等化器 39
4.1 決策回授等化器 [5] 39
4.1.1 接收端後續訊號處理 41
4.2 等化器係數性質 42
4.3 情況一:FBF輸入訊號完全包含於OQAM訊號 43
4.3.1 當 為偶數(即 為偶數) 43
4.3.2 當 為奇數(即 為奇數) 45
4.4 情況二:FBF輸入訊號部分包含於OQAM訊號 51
4.4.1 當 為偶數(即 為偶數) 52
4.4.2 當 為奇數(即 為奇數) 53
4.5 情況三:FBF輸入訊號完全不包含於OQAM訊號 57
4.5.1 當 為偶數(即 為偶數) 58
4.5.2 當 為奇數(即 為奇數) 60
第五章 電腦模擬與結果分析 63
5.1 模擬環境 63
5.2 等化器參數設定 65
5.3 模擬結果 71
第六章 結論與未來研究方向 75
參考文獻 76
參考文獻 [1] B.R. Saltzberg,“Performance of an Efficient Parallel Data Transmission System,” IEEE Trans. Commum. Tech., vol. 15, no.6, PP. 805-811, Dec. 1967.
[2] P. Siohan, C. Siclet, and N. Lacaille, “Analysis and design of OFDM/OQAM systems based on filterbank theory,” IEEE Trans. Signal Processing, vol. 50, no. 5, pp. 1170–1183, May 2002.
[3] D.S. Walhauser, L.G. Baltar and J.A. Nossek,“MMSE subcarrier equalization for filter bank based multicarrier systems,” IEEE SPAWC 2008, pp. 525-529, Recife, 6-9 July 2008.
[4] D.S. Walhauser, L.G. Baltar and J.A. Nossek,“Adaptive equalization for filter bank based multicarrier systems,” IEEE ISCAS 2008, pp. 3098-3101, Seattle WA, 18-21 May 2008.
[5] L.G. Baltar, D.S. Waldhauser and J.A. Nossek,“MMSE subchannel decision feedback equalization for filter bank based multicarrier systems,” IEEE ISCAS 2009, pp. 2802-2805, Taipei, 24-27 May 2009.
[6] D.S. Walhauser, L.G. Baltar and J.A. Nossek,“Adaptive decision feedback equalization for filter bank based multicarrier systems,” IEEE ISCAS 2009, pp. 2794-2797 Taipei, 24-27 May 2009.
[7] A. Ikhlef and J. Louveaux,“An enhanced MMSE per subchannel equalizer for highly frequency selective channels for FBMC/OQAM systems,” IEEE SPAWC 2009, pp. 186-190, Perugia, 21-24 June 2009.
[8] M.G. Bellanger,“Specification and design of a prototype filter for filter bank based multicarrier transmission,” IEEE Int. Conf. Acoustics, Speech, and Signal Processing, vol.4, pp. 2417-2420, Salt Lake City, 07-11 May 2001.
[9] A. Viholainen, T. Ihalainen, T.H. Stitz, M. Renfors and B.G.Bellanger,“Prototype filter design for filter bank based multicarrier transmission,” IEEE, Signal Processing Conference, pp. 1359-1363, Glasgow, 24-28 Aug. 2009.
[10] C. Lele, P. Siohan, R. Legouable and J.-P. Javaudin,“Preamble-based channel estimation techniques for OFDM/OQAM over the powerline,” ISPLC 2007, pp. 59-64, Pisa, 26-28 March 2007.
[11] E. Dahlman and B. Gudmundson, “Performance improvement in decision feedback equalisers by using ‘soft decision,’ ” Electron. Lett., vol. 24, pp. 1084-1085, Aug. 1988.
[12] T. Karp and N. J. Fliege, “Computationally efficient realization of MDFT filter banks,” Proc. EUSIPCO ’96, vol. 2, pp. 1183–1186, September 1996.
[13] J. G. Andrews, S. Buzzi, Wan Choi, S. V. Hanly, A. Lozano, A. C. K. Soong, J. C. Zhang, "What Will 5G Be?" IEEE Journal on Selected Areas in Communications, vol.32, no.6, pp.1065--1082, June 2014.
[14] B. Farhang-Boroujeny, "OFDM versus filter bank multicarrier," IEEE Signal Processing Magazine, April 2011, pp. 92-112.
[15] P. Banelli, S. Buzzi, G. Colavolpe, A. Modenini, F. Rusek, A. Ugolini, "Modulation Formats and Waveforms for 5G Networks: Who Will Be the Heir of OFDM?: An overview of alternative modulation schemes for improved spectral efficiency," IEEE Signal Processing Magazine, vol.31, no.6, pp.80-93, Nov. 2014.
[16] B. Farhang-Boroujeny and R. Kempter, “Multicarrier communication techniques for spectrum sensing and communication in cognitive radios,” IEEE Commun. Mag. (Special Issue on Cognitive Radios for Dynamic Spectrum Access), vol. 46, no 4, pp. 80–85, Apr. 2008.
[17] J.Smee and Norman C. Beaulieu, “On the Equivalence of the Simultaneous and Separate MMSE Optimizations of a DFE FFF and FBF, ” IEEE Trans. Commum. Tech., vol. 45, no.2, Feb. 1997.
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