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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/123456789/42786
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dc.contributor.advisor張進福
dc.contributor.authorChien-Lun Chenen
dc.contributor.author陳建綸zh_TW
dc.date.accessioned2021-06-15T01:23:25Z-
dc.date.available2014-07-30
dc.date.copyright2009-07-30
dc.date.issued2009
dc.date.submitted2009-07-23
dc.identifier.citation1. W. C. Jakes, Microwave Mobile Communication, 2nd ed. Piscataway, NJ: IEEE Press, 1994.
2. T. S. Rappaport, Wireless Communications: Principles and Practice Upper Saddle River, NJ: Prentice-Hall, 1996.
3. R. van Nee and R. Prasad, OFDM Wireless Multimedia Communications: Artech House, 2000.
4. C. Dubuc , D. Starks , T. Creasy and Y. Hou “A MIMO-OFDM prototype for next-generation wireless WANs,? IEEE Commun. Mag., vol. 42, pp. 82, Dec. 2004.
5. A. J. Paulraj, “An Overview of MIMO Communications — A Key to Gigabit Wireless,? Proc. IEEE, vol. 92, no. 2, pp. 198-218, Feb. 2004.
6. G. L. Stuber, “Broadband MIMO-OFDM Wireless Communications,” Proc. IEEE, vol. 92, no. 2, pp. 271-294, Feb. 2004.
7. H. Sampath, “A Fourth-generation MIMO-OFDM Broadband Wireless System: Design, Performance, and Field Trial Results,” IEEE Commun. Mag., vol. 40, no. 9, pp. 143-149, Sept. 2002.
8. Y. Li, J. H. Winters, and N. R. Sollenberger, “MIMO-OFDM for Wireless Communications: Signal Detection with Enhanced Channel Estimation,” IEEE Trans. Commun., vol. 50, no. 9, pp. 1471-1477, Sept. 2002.
9. L. Zheng and D. N. C. Tse, “Diversity and multiplexing: A fundamental tradeoff in multiple-antenna channels,” IEEE Trans. Inform. Theory, vol. 49, pp. 1073-1096, May 2003.
10. M. R. McKay , I. B. Collings and P. J. Smith “Capacity and SER analysis of MIMO beamforming with MRC,” Proc. IEEE Int. Conf. Communications Istanbul, Turkey, 2006.
11. S. M. Alamouti, “A simple transmitter diversity scheme for wireless communications,” IEEE J. Select. Areas Commun., vol. 16, pp. 1451-1458, Oct. 1998.
12. B. Vucetic and J. Yuan, Space-Time Coding: Wiley, 2003.
13. B. Lu and X. Wang, “Space–time code design in OFDM systems,” in Proc. IEEE GLOBECOM, vol. 2, 2000.
14. D. Gesbert, “From Theory to Practice: An Overview of MIMO Space-Time Coded Wireless Systems,” IEEE JSAC, vol. 21, no. 3, pp. 281-302, 2003.
15. V. Tarokh, H. Jafarkhani, and A. R. Calderbank, “Space-Time Block Coding for Wireless Communication: Performance Results”, IEEE J. Select. Areas Commun., vol. 17, pp. 451-460, Mar. 1999.
16. V. Tarokh, H. Jafarkhani, and A. R. Calderbank, “Space-Time Block Coding from Orthogonal Designs”, IEEE Trans. Inform Theory, vol. 46, pp. 524-542, Mar. 2000.
17. A. F. Naguib, N. Seshadri, and A. R. Calderbank, “A Space-Time Coding Modem for High-Data-Rate Wireless communications”, IEEE J. Select. Areas Commun., vol. 16, pp. 1459-1478, Mar. 1998.
18. T.K. Yo, “Maximum ratio transmission,” IEEE Trans. Commun., vol. 47, pp. 1458-1461, Oct. 1999.
19. C. Leung and X. Feng, “Jointly optimal transmit and receive diversity,” Electronics Letters -- 6 June 2002 -- Volume 38, Issue 12, p. 594-596
20. Murthy, C.; Rao, B.D., “On antenna selection with maximum ratio transmission,' IEEE Digital Object Identifier, Volume: 1, On page(s): 228- 232 9-12 Nov. 2003.
21. B. D. Rao and M. Yan “Performance of maximal ratio transmission with two receive antennas,” IEEE Trans. Commun., vol. 51, pp. 894, Jun. 2003.
22. Y. Chen and C. Tellambura “Performance analysis of maximum ratio transmission with imperfect channel estimation,” IEEE Commun. Lett., vol. 9, pp. 322, Apr. 2005.
23. Xiaoyan Feng; Leung, C. “A new optimal transmit and receive diversity scheme, ” Volume 2, 26-28 Aug. 2001 Page(s):538 - 541 vol.2.
24. Khaled, N.Thoen, S.Vizzardi, M.Desset, C., “A new joint transmit and receive optimization scheme for OFDM-based MIMO systems”, Volume: 2, On page(s): 998- 1002 vol.2.
25. C.-H. Tse, K.-W. Yip, and T.-S. Ng, “Performance tradeoffs between maximum ratio transmission and switched-transmit diversity,” in Proc. 11th IEEE Int. Symp. Personal, Indoor and Mobile Radio Communications (PIMRC'2000) London, U.K., Sept. 2000, pp. 1485-1489.
26. P. A. Dighe, R. K. Mallik, and S. R. Jamuar, “Analysis of trasmit-receive diversity in Rayleigh fading,” in Proc. IEEE Global Telecommunications Conf. (GLOBECOM'2001) San Antonio, TX, Nov. 2001, pp. 1132-1136.
27. I. Barhumi, G. Leus, and M. Moonen, “Optimal training design for MIMO OFDM systems in mobile wireless channels,” IEEE Trans. Signal Processing, vol. 51, pp. 1615-1624, June 2003.
28. H. Minn and N. Al-Dhahir “Optimal training signals for MIMO OFDM channel estimation,” IEEE Trans. Wireless Commun., vol. 5, pp. 1158, May 2006.
29. T. Baykas and A. Yongacoglu, “Robustness of transmit diversity schemes with multiple receive antennas at imperfect channel state information,” in Proc. IEEE Canadian Conf. Electrical Computer Engineering (CCECE) 2003, vol. 1, May 2003, pp. 191-194.
30. K. K. Mukkavilli, A. Sabharwal, E. Erkip, and B. Aazhang, “On beamforming with finite rate feedback in multiple-antenna systems,” IEEE Trans. Inform. Theory, vol. 49, pp. 2562-2579, Oct. 2003.
31. D. J. Love, R. W. Heath Jr., and T. Strohmer, “Grassmannian beamforming for multiple-input multiple-output wireless systems,” in Proc. IEEE Int. Conf. Communications, vol. 4, May 2003, pp. 2618-2622.
dc.identifier.urihttp://tdr.lib.ntu.edu.tw/jspui/handle/123456789/42786-
dc.description.abstract本研究主要在於討論在多輸入/多輸出正交分頻多工系統環境下,空間分集技術加入子載波功率配置之問題。在傳統的多輸入/多輸出空間分集下,不同的正交振幅調變符元被安置在不同的時槽上傳送,因此受到較高通道增益之符元無法分配功率至受到較低通道增益之符元上。本論文即在多輸入/多輸出正交分頻多工系統環境下,使用空間分集技術加入子載波功率配置之概念,令接收端解調時之位元或符元錯誤率進而降低。並針對加入子載波功率配置之系統,分析其計算複雜度、對通道估測誤差之容錯能力以及對於接收端回饋資訊的依賴程度。論文最後綜合比較以上分析之結果,並歸納出最適合於上、下行傳輸中使用之方法。zh_TW
dc.description.abstractThis thesis is mainly discussing about the issue of spatial diversity for MIMO-OFDM systems with power allocation on subcarriers. The spatial diversity techniques in traditional MIMO systems transmit the QAM symbols in different time slots, and therefore the symbols which get the higher gain can not share its power to which get the lower gain. In this thesis, different spatial diversity techniques for MIMO-OFDM systems with power allocation on subcarriers were purposed to reduce the bit error rate. Computational complexities, robustness and dependence upon feedback information of different techniques mentioned above were analyzed. Finally, we compare the results and conclude the most suitable method in upload and download situations.en
dc.description.provenanceMade available in DSpace on 2021-06-15T01:23:25Z (GMT). No. of bitstreams: 1
ntu-98-R96942100-1.pdf: 1697575 bytes, checksum: c943978c02f72d55808e5cd153f19a38 (MD5)
Previous issue date: 2009
en
dc.description.tableofcontents口試委員會審定書................................................................................ ii
誌謝........................................................................................... iii
中文摘要........................................................................................ iv
英文摘要......................................................................................... v
第一章 緒論...................................................................................... 1
1.1 研究背景................................................................................. 1
1.2 研究動機................................................................................. 2
1.3 無線通道環境介紹......................................................................... 3
1.3.1 前言............................................................................... 3
1.3.2 通道環境之參數..................................................................... 4
1.3.3 通道模型.......................................................................... 10
1.4 正交分頻多工系統簡介.................................................................... 14
1.5 論文架構................................................................................ 20
第二章 空間分集技術在多輸入/多輸出正交分頻多工系統下
結合功率分配之可行性............................................................................ 21
2.1 多輸入/多輸出天線系統................................................................... 21
2.2 空間分集................................................................................ 24
2.2.1 接收分集.......................................................................... 24
2.2.2 傳送分集.......................................................................... 25
2.2.3 傳送與接收分集.................................................................... 26
2.3 最大比例結合............................................................................ 28
2.4 時空/時頻區塊碼......................................................................... 31
2.5 最大比例傳輸............................................................................ 37
2.6 改良之最大比例傳輸...................................................................... 41
2.7 多載波系統下之功率分配.................................................................. 43
2.8 系統流程方塊圖.......................................................................... 47
2.9 模擬結果................................................................................ 50
2.9.1 空間分集加入功率分配:分集增益在子載波上的分佈情形.................... 51
2.9.2 空間分集加入功率分配:位元錯誤率..................................... 54
2.9.3 空間分集加入功率分配:分集增益之累積分佈函數......................... 55
2.9.4 空間分集加入功率分配:多路徑通道與分集增益之關係....................... 57
2.10 本章回顧與結論......................................................................... 60
第三章 應用功率分配技術時系統之計算複雜度與容錯能力.................... 63
3.1 計算複雜度分析.......................................................................... 63
3.1.1 計算複雜度公式.................................................................... 64
3.1.2 計算複雜度比較.................................................................... 65
3.2 多輸入/多輸出正交分頻多工系統之訓練符元與通道估測....................... 68
3.3 容錯能力分析............................................................................ 73
3.3.1 容錯能力的重要性.................................................................. 73
3.3.2 訓練符元訊雜比維持定值之情形...................................................... 74
3.3.3 訓練符元訊雜比維持與信號訊雜比相同之情形.................................... 78
3.4 本章回顧與結論.......................................................................... 85
第四章 結合功率分配之空間分集技術對於回饋資訊之依賴程度..................... 87
4.1 回饋資訊之量化問題...................................................................... 87
4.2 減少回饋資訊的方法...................................................................... 90
4.2.1 時域上減少回饋資訊................................................................ 90
4.2.2 頻域上減少回饋資訊................................................................ 91
4.3 模擬結果................................................................................ 94
4.4 本章回顧與結論.......................................................................... 99
第五章 總結.................................................................................... 101
5.1 各章回顧及結論......................................................................... 101
5.2 未來研究方向........................................................................... 104
參考文獻....................................................................................... 105
dc.language.isozh-TW
dc.subject最小均方誤差等化器zh_TW
dc.subject多輸入/多輸出正交分頻多工系統zh_TW
dc.subject空間分集zh_TW
dc.subject最大比&#63925zh_TW
dc.subject結合zh_TW
dc.subject最大比&#63925zh_TW
dc.subject傳輸zh_TW
dc.subject計算複雜&#64001zh_TW
dc.subject衰減通道zh_TW
dc.subjectFading Channelen
dc.subjectMMSE Equalizeren
dc.subjectMIMO-OFDMen
dc.subjectSpatial Diversityen
dc.subjectMRCen
dc.subjectMRTen
dc.subjectComputational Complexityen
dc.title空間分集技術加入子載波功率配置在多輸入/多輸出正交分頻多工系統下之效能分析zh_TW
dc.titlePerformance Analysis of Spatial Diversity for MIMO-OFDM Systems with Power Allocation on Subcarriersen
dc.typeThesis
dc.date.schoolyear97-2
dc.description.degree碩士
dc.contributor.oralexamcommittee金力鵬,魏學文
dc.subject.keyword多輸入/多輸出正交分頻多工系統,空間分集,最大比&#63925,結合,最大比&#63925,傳輸,計算複雜&#64001,衰減通道,最小均方誤差等化器,zh_TW
dc.subject.keywordMIMO-OFDM,Spatial Diversity,MRC,MRT,Computational Complexity,Fading Channel,MMSE Equalizer,en
dc.relation.page108
dc.rights.note有償授權
dc.date.accepted2009-07-24
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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