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  1. NTU Theses and Dissertations Repository
  2. 電機資訊學院
  3. 電信工程學研究所
請用此 Handle URI 來引用此文件: http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/81283
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dc.contributor.advisor鐘嘉德(Char-Dir Chung)
dc.contributor.authorLi-Yu Maen
dc.contributor.author馬笠瑜zh_TW
dc.date.accessioned2022-11-24T03:40:41Z-
dc.date.available2022-02-21
dc.date.available2022-11-24T03:40:41Z-
dc.date.copyright2022-02-21
dc.date.issued2022
dc.date.submitted2022-01-24
dc.identifier.citation[1] 3GPP TS 36.211 V14.2., LTE; Evolved universal terrestrial radio access (E-UTRA): Physical channels and modulation, Apr. 2017. [2] 3GPP TS 38.211 V15.4., 5G NR: Physical channels and modulation, Apr. 2019. [3] H. G. Myung, J. Lim and D. J. Goodman, 'Peak-To-Average Power Ratio of Single Carrier FDMA Signals with Pulse Shaping,' 2006 IEEE 17th International Symposium on Personal, Indoor and Mobile Radio Communications, 2006, pp. 1-5. [4] H. G. Myung, J. Lim and D. J. Goodman, 'Single carrier FDMA for uplink wireless transmission,' in IEEE Vehicular Technology Magazine, vol. 1, no. 3, pp. 30-38, Sept. 2006. [5] H. G. Myung, 'Introduction to single carrier FDMA,' 2007 15th European Signal Processing Conference, 2007, pp. 2144-2148. [6] H. Sari, G. Karam and I. Jeanclaude, 'Transmission techniques for digital terrestrial TV broadcasting,' in IEEE Communications Magazine, vol. 33, no. 2, pp. 100-109, Feb. 1995. [7] A. Czylwik, 'Comparison between adaptive OFDM and single carrier modulation with frequency domain equalization,' 1997 IEEE 47th Vehicular Technology Conference. Technology in Motion, 1997, pp. 865-869 vol.2. [8] Yuan-Pei Lin and See-May Phoong, 'BER minimized OFDM systems with channel independent precoders,' in IEEE Transactions on Signal Processing, vol. 51, no. 9, pp. 2369-2380, Sept. 2003. [9] Ciochina-Duchesne, Cristina, David Mottier and Hikmet Sari. 'An analysis of three multiple access techniques for the uplink of future cellular mobile systems,' Eur. Trans. Telecommun., vol. 19, 2008, pp. 581-588. [10] C. Ciochina and H. Sari, 'A review of OFDMA and single-carrier FDMA,' 2010 European Wireless Conference (EW), 2010, pp. 706-710. [11] A. Gusmao, R. Dinis, J. Conceicao and N. Esteves, 'Comparison of two modulation choices for broadband wireless communications,' VTC2000-Spring. 2000 IEEE 51st Vehicular Technology Conference Proceedings (Cat. No.00CH37026), 2000, pp. 1300-1305. [12] Proakis, Digital Communications 5th Edition, McGraw Hill, 2007. [13] N. Benvenuto and S. Tomasin, 'On the comparison between OFDM and single carrier modulation with a DFE using a frequency-domain feedforward filter,' in IEEE Transactions on Communications, vol. 50, no. 6, pp. 947-955, June 2002. [14] D. Falconer, S. L. Ariyavisitakul, A. Benyamin-Seeyar and B. Eidson, 'Frequency domain equalization for single-carrier broadband wireless systems,' in IEEE Communications Magazine, vol. 40, no. 4, pp. 58-66, April 2002. [15] N. Benvenuto and S. Tomasin, 'Block iterative DFE for single carrier modulation,' IEEE Elec. Letters, vol. 38, pp. 1144--1145, Sep. 2002. [16] N. Benvenuto and S. Tomasin, 'Iterative design and detection of a DFE in the frequency domain,' in IEEE Transactions on Communications, vol. 53, no. 11, pp. 1867-1875, Nov. 2005. [17] G. H. Golub and C. F. Van Loan, Matrix Computations, 3rd ed. Baltimore and London: Johns Hopkins University Press, 1996. [18] R.-Y. Yen, H. Liu and W.-K. Tsai, 'QAM symbol error rate in OFDM systems over frequency-selective fast Rician-fading channels,' IEEE Trans. Veh. Technol., vol. 57, no. 2, pp. 1322-1325, Mar. 2008. [19] Simon Haykin, Communication Systems 4th edition, John Wiley Sons, 2001. [20] S. J. Press, Applied Multivariate Analysis. Holt, Rinehart and Winston Inc., 1972. [21] A. Oppenheim and R. W. Schafer, Discrete-Time Signal Processing, 3rd ed. Pearson, 2010. [22] H. L. Van Trees, Detection, Estimation, and Modulation Theory. John Wiley Sons Inc., 1968.
dc.identifier.urihttp://tdr.lib.ntu.edu.tw/jspui/handle/123456789/81283-
dc.description.abstract"單載波分頻多工(SC-FDM)是當代無線通訊上行傳輸廣泛使用的技術。為了改善符元決策的性能表現,有著決策回饋的疊代等化演算法是需要被考慮的。在本篇論文中提出一種適用於單載波分頻多工系統的疊代決策回饋混合式等化演算法(IDFHE),此演算法結合了修正式線性最小均方誤差(MLM)和約束最小平方(CLS)兩種非疊代等化演算法。不同於以往的決策回饋等化技術,本文所提出的IDFHE演算法在疊代過程中根據不同等化器的特性使用了不同的等化器設計準則,藉此改善符元決策性能。在性能表現的部分,本文討論了在隨機分段頻散通道上的位元錯誤機率(bit error probability, BEP)以及計算複雜度,結果顯示本文提出的演算法相比以往的決策回饋等化(DFE)演算法可以達到更好的位元錯誤機率並且維持相似的計算複雜度。此外,經由分析訊號對干擾加雜訊比(signal-to-interference-plus-noise ratio, SINR)、訊號雜訊比(signal-to-noise power ratio, SNR)推導出的位元錯誤機率也被展示為IDFHE性能結果的精確分析和分析下界。隨著Rician K值增加,模擬結果愈來愈接近分析下界,代表干擾消除的效果隨著K值增加而愈來愈好。"zh_TW
dc.description.provenanceMade available in DSpace on 2022-11-24T03:40:41Z (GMT). No. of bitstreams: 1
U0001-2201202218344100.pdf: 3762145 bytes, checksum: 2eac386c3f175cfd2e670fff73cbbd91 (MD5)
Previous issue date: 2022
en
dc.description.tableofcontentsAbstract i Contents ii List of Figures iv List of Tables vi 1 Introduction 1 1.1 Review of SC-FDM System 1 1.2 Review of Equalization Algorithms 2 1.3 Thesis Motivation 4 2 Non-iterative Equalization 6 2.1 System Model 6 2.2 Equalization Methods 9 2.2.1 Zero-forcing 10 2.2.2 Linear Minimum Mean Square Error 11 2.2.3 Modified Zero-forcing 12 2.2.4 Modified Linear Minimum Mean Square Error 14 2.2.5 Constrained Least-Square 14 2.3 Performance Characteristics 16 2.3.1 Random Block Dispersive Channel 16 2.3.2 CDF Comparison 18 2.3.3 BEP Performance 18 2.3.4 Computational Complexity 19 2.3.5 Power Ratios of Equalized Signal 21 2.3.6 Effect of Clipping Levels on Power Ratios 22 3 Iterative Decision-Feedback Hybrid Equalization 25 3.1 System Model 25 3.2 Iterative Decision-Feedback Hybrid Equalization 26 3.3 Performance Characteristics 34 3.3.1 BEP Performance 34 3.3.2 Computational Complexity 35 3.3.3 Sensitivity to Channel Estimation Error 38 4 Conclusion 42 Bibliography 43 Appendix 46 Appendix A. Derivation of Effective SINR With MZF 46 Appendix B. Derivation of Effective SINR With MLM 48 Appendix C. Derivation of Effective SINR With CLS 50 Appendix D. Derivation of (3.12) 51
dc.language.isoen
dc.subject分段頻散通道zh_TW
dc.subject單載波分頻多工zh_TW
dc.subject非疊代等化zh_TW
dc.subject約束最小平方zh_TW
dc.subject決策回饋等化zh_TW
dc.subjectconstrained least-squareen
dc.subjectblock dispersive channelen
dc.subjectSingle-carrier frequency division multiplexingen
dc.subjectnon-iterative equalizationen
dc.subjectdecision-feedback equalizationen
dc.title單載波分頻多工系統中的疊代決策回饋混合式等化演算法zh_TW
dc.titleIterative Decision-Feedback Hybrid Equalization in SC-FDMen
dc.date.schoolyear110-1
dc.description.degree碩士
dc.contributor.coadvisor陳維昌(Wei-Chang Chen)
dc.contributor.oralexamcommittee林茂昭(Ming-Fang Yen),王晉良(Li-Chen Hsieh),古孟霖
dc.subject.keyword單載波分頻多工,非疊代等化,約束最小平方,決策回饋等化,分段頻散通道,zh_TW
dc.subject.keywordSingle-carrier frequency division multiplexing,non-iterative equalization,constrained least-square,decision-feedback equalization,block dispersive channel,en
dc.relation.page52
dc.identifier.doi10.6342/NTU202200152
dc.rights.note同意授權(限校園內公開)
dc.date.accepted2022-01-24
dc.contributor.author-college電機資訊學院zh_TW
dc.contributor.author-dept電信工程學研究所zh_TW
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