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http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/47811完整後設資料紀錄
| DC 欄位 | 值 | 語言 |
|---|---|---|
| dc.contributor.advisor | 馮世邁(See-May Phoong) | |
| dc.contributor.author | Ming-Ju Lee | en |
| dc.contributor.author | 李明儒 | zh_TW |
| dc.date.accessioned | 2021-06-15T06:19:58Z | - |
| dc.date.available | 2015-08-12 | |
| dc.date.copyright | 2010-08-12 | |
| dc.date.issued | 2010 | |
| dc.date.submitted | 2010-08-10 | |
| dc.identifier.citation | Bibliography
[1] X. Huang and H.C. Wu, Intercarrier interference analysis for wireless OFDM in mobile channels,' IEEE Wireless Commun. Netw. Conf., vol.4, no., pp.1848-1853, 3-6 April 2006. [2] M. Russell and G.L. Stuber, Interchannel interference analysis of OFDM in a mobile environment,' IEEE Veh. Technol. Conf., vol.2, pp.820-824 vol.2, 25-28 Jul 1995. [3] X. Cai and G.B. Giannakis, Bounding performance and suppressing intercarrier interference in wireless mobile OFDM' IEEE Trans. Commun., vol.51, no.12, pp. 2047- 2056, Dec. 2003. [4] P. Robertson and S. Kaiser, 'Analysis of the loss of orthogonality through Doppler spread in OFDM systems,' IEEE Global Telecommun. Conf., vol.1B, pp.701-706 vol. 1b, 1999. [5] I. Barhumi, G. Leus and M. Moonen, Time-varying FIR equalization for doubly selective channels,' IEEE Trans. Wireless Commun., vol.4, no.1, pp. 202- 214, Jan. 2005. [6] I. Barhumi, G. Leus and M. Moonen, 'Time-domain channel shortening and equal- ization of OFDM over doubly-selective channels,' IEEE Int. Conf. on Acoustics, Speech, and Signal Processing, vol.3, no., pp. iii- 801-4 vol.3, 17-21 May 2004. 81 82 BIBLIOGRAPHY [7] D. K. Borah and B. D. Hart, 'Receiver structures for time-varying frequency- selective fading channels,' IEEE J. Sel. Areas Commun., vol.17, no.11, pp.1863- 1875, Nov 1999. [8] Z. Tang and G. Leus, 'A novel receiver architecture for single-carrier transmission over time-varying channels,' IEEE J. Sel. Areas Commun., vol.26, no.2, pp.366- 377, February 2008. [9] A. Mishal and D. Pankaj, 'An Intercarrier Interference Reduction Receiver for OFDM Systems in Time Varying Channels,' IEEE Mil. Commun. Conf., pp.1-4, 29-31 Oct. 2007. [10] A. F. Molisch, M. Toeltsch and S. Vermani, 'Iterative Methods for Cancellation of Intercarrier Interference in OFDM Systems,' IEEE Trans. Veh. Technol., vol.56, no.4, pp.2158-2167, July 2007. [11] S. Tomasin, A. Gorokhov, H. Yang and J. P. Linnartz, 'Iterative interference cancellation and channel estimation for mobile OFDM,' IEEE Trans. Wireless Commun., vol.4, no.1, pp. 238- 245, Jan. 2005. [12] J. Y. Yun, S. Y. Chung and Y. H. Lee, 'Capacity Maximizing ICI Canceling Win- dows for OFDM in Time-Varying Channels,' IEEE Int. Conf. Commun., vol.10, no., pp.4660-4664, June 2006. [13] H. Zhang and Y. Li, 'Optimum frequency-domain partial response encoding in OFDM system,' IEEE Int. Conf. Commun., vol.3, pp. 2025- 2029 vol.3, 11-15 May 2003. [14] Y. P. Zhao, J. D. Leclercq and S. G. Haggman, 'Intercarrier interference com- pression in OFDM communication systems by using correlative coding,' IEEE Commun. Lett., vol.2, no.8, pp.214-216, Aug 1998. [15] K. Y. Lin, H. P. Lin, M. C. Tseng and C. R. Sheu, 'Low-Complex ICI Re- duction Method by Applying Franks Window Coe±cients in Linear Time-Varying BIBLIOGRAPHY 83 Channel,'IEEE Int. Symp. Pers., Indoor Mobile Radio Commun., pp.1-5, 3-7 Sept. 2007. [16] X. Z. Huang and H. C. Wu, 'Robust and E±cient Intercarrier Interference Mit- igation for OFDM Systems in Time-Varying Fading Channels,' IEEE Trans. Veh. Technol., vol.56, no.5, pp.2517-2528, Sept. 2007. [17] P. Schniter, 'Low-complexity equalization of OFDM in doubly selective chan- nels,' IEEE Trans. Signal Process., vol.52, no.4, pp. 1002- 1011, April 2004. [18] W. C.Jakes, Microwave Mobile Communications, Cambirdge University Press 2010. [19] P. Dent, G. E. Bottomley, and T. Croft, 'Jakes fading model revisited,' Electron Lett., vol. 29, no. 13, pp. 1162-1163, June 1993. [20] D. Tse and P. Viswanath, 'Fundamentals of Wireless Communication,' Cam- bridge University Press, 2004. [21] S. M. Phoong, Multirate Signal Processing,' Class Note, National Taiwan Uni- versity, Jun. 2009. [22] P. P. Vaidyanathan, S. M. Phoong and Y. P. Lin, Signal Processing and Opti- mization for Transceiver Systems, Cambirdge University Press, 2010. [23] J. Brewer, Kronecker products and matrix calculus in system theory,' IEEE Trans. Circuits Syst., vol.25, no.9, pp. 772- 781, Sep 1978. | |
| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/47811 | - |
| dc.description.abstract | Increasing demand for higher data rates under high mobility has catalyzed sev-
eral new techniques and systems. One of the most popular techniques is orthogonal frequency-division multiplexing (OFDM). The OFDM system is widely adopted in many modern communication systems because of its spectral e±ciency and its ro- bustness over multipath channels. For many mobile applications, the end users might be moving and this will introduce the doppler eRect. Due to the doppler eRect, chan- nel is not time-invariant anymore and the orthogonality among the subcarriers of the OFDM systems will be destroyed. As a result intercarrier interference (ICI) is intro- duced. ICI will degrade the performance of the system signi‾cantly. Thus, in order to be a reliable communication system, some ICI mitigation schemes are important to the system. There are many ICI mitigation schemes. One technique is to design an equalizer. By having an equalizer at the receiver, the ICI could be eRective suppressed. But the computational complexity of the conventional zero-forcing (ZF) or minimum mean square error (MMSE) equalizer will be high when the channel is time-varying. Sev- eral low cost equalizers have been proposed in the literature. In particular, it was shown [16] that most ICI comes from neighbor subcarriers. From this conclusion, a reduced complexity equalizer, Q-tap equalizer, is proposed without sacri‾cing much performance. To reduce the complexity of equalizer, another method is to add a time domain window at the receiver [17]. The purpose of adding the time domain window is to prone the channel response into a desired form. However, this idea does not reduce additive channel noise, nor does it reduces interference from other subcarriers. The result of performance seems to be less than satisfactory. Presented in this thesis is a novel method of channel equalization, and ICI reduc- tion based on the time domain window and Q-tap equalizer. By jointly designing the window and Q-tap equalizer, the system can better reduce ICI and its performance is greatly improved without a large computation. Besides, we also extend the time domain window using banded matrix. Finally, Simulation results are provided to demonstrate the performance of the proposed methods. | en |
| dc.description.provenance | Made available in DSpace on 2021-06-15T06:19:58Z (GMT). No. of bitstreams: 1 ntu-99-R97942025-1.pdf: 1232986 bytes, checksum: 94eb6833dfa967f34dfd174f91700fe7 (MD5) Previous issue date: 2010 | en |
| dc.description.tableofcontents | Contents
List of Tables vii List of Figures viii Abstract xi 1 Introduction 1 2 Channel Model and Equalization in the OFDM System 7 2.1 Time-Varying Channel Model . . . . . . . . . . . . . . . . . . . . . . 8 2.1.1 The Channel Model as A Linear Time-Varying System . . . . 9 2.1.2 A Discrete Time Baseband Model . . . . . . . . . . . . . . . . 10 2.1.3 Characteristic of Time-Varying Channel . . . . . . . . . . . . 13 2.1.4 Statistical Channel Models . . . . . . . . . . . . . . . . . . . . 15 2.2 Introduction to OFDM Systems . . . . . . . . . . . . . . . . . . . . . 16 2.3 Equalization on OFDM System . . . . . . . . . . . . . . . . . . . . . 21 2.3.1 Equalization of Time-Invariant Channel . . . . . . . . . . . . 21 2.3.2 Equalization of Time-Varying Channel . . . . . . . . . . . . . 23 2.4 Effect of Time-Varying Channel on OFDM System Performance . . . 25 3 Review of ICI Mitigation Method for Time-Varying Channel on OFDM System 29 3.1 Frequency Domain Equalizer: Q-tap Equalizer[16] . . . . . . . . . . . 30 3.2 Time Domain Windowing - Max-SINR ISI/ICI Shaping[17] . . . . . . 33 3.3 Simulation Results and Comparison . . . . . . . . . . . . . . . . . . . 36 4 Joint Time-Domain and Frequency-Domain Equalization for OFDM Systems over Time-Varying Channels 43 4.1 Joint Design of Diagonal Time Domain Window and Q-tap Equalizer 44 4.2 Tx-Rx Time Domain Windows and Q-tap Equalizer . . . . . . . . . . 52 4.3 Extending the Time Domain Window into a Banded Structure . . . . 58 5 Conclusion 67 A Simulation Model 69 A.1 Multipath Fading Channel Model . . . . . . . . . . . . . . . . . . . . 70 A.2 Simulation Environment . . . . . . . . . . . . . . . . . . . . . . . . . 72 B Matrix Differentiation 75 B.1 Real Matrix and Properties . . . . . . . . . . . . . . . . . . . . . . . 76 B.2 Complex Matrices and Derivatives . . . . . . . . . . . . . . . . . . . . 79 Bibliography 81 List of Tables 2.1 A summary of the types of wireless channels and their de‾ning char- acteristics. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 15 2.2 Power delay profile of the simulation channel . . . . . . . . . . . . . . 26 2.3 OFDM system parameters is used in this thesis. . . . . . . . . . . . . 26 3.1 Power delay profile of the simulation channel . . . . . . . . . . . . . . 37 3.2 OFDM system parameters is used in this thesis. . . . . . . . . . . . . 37 4.1 Power delay profile of the simulation channel . . . . . . . . . . . . . . 49 4.2 OFDM system parameters is used in this thesis. . . . . . . . . . . . . 49 4.3 fd = 0.032 and SNR=5, BER performance under different Ld and Lq. 64 4.4 fd = 0.032 and SNR=30, BER performance under different Ld and Lq. 64 4.5 fd = 0.064 and SNR=5, BER performance under different Ld and Lq. 66 4.6 fd = 0.064 and SNR=30, BER performance under different Ld and Lq. 66 A.1 Power delay profile of the simulation channel . . . . . . . . . . . . . . 73 A.2 OFDM system parameters is used in this thesis. . . . . . . . . . . . . 73 B.1 Derivatives of scalar functions of complex matrices. . . . . . . . . . . 80 List of Figures 2.1 Propagation scenario . . . . . . . . . . . . . . . . . . . . . . . . . . . 9 2.2 The impulse response of the time-varying multipath channel model . 10 2.3 Sampling at multiples of Tb, x[n] can recovered without interference. . 12 2.4 Block diagram of OFDM system. . . . . . . . . . . . . . . . . . . . . 17 2.5 Multirate building block of P/S and S/P . . . . . . . . . . . . . . . . 18 2.6 An equivalent parallel-subchannel model for the OFDM system . . . 23 2.7 BER versus SNR of ZF equalizer for various fd. . . . . . . . . . . . . 27 2.8 BER versus SNR of MMSE equalizer for various fd. . . . . . . . . . . 27 3.1 The OFDM receiver with a Q-tap equalizer. . . . . . . . . . . . . . . 31 3.2 OFDM system after adding time domain window at Tx. . . . . . . . 33 3.3 Desired structure of windowed matrix Λ. . . . . . . . . . . . . . . . . 35 3.4 fd = 0.032 and 0.064, BER versus SNR with ZF Q-tap equalizer. . . . 38 3.5 fd = 0.032, D = 3 BER versus SNR with ZF Q-tap equalizer. . . . . . 39 3.6 fd = 0.064, D = 3 BER versus SNR with ZF Q-tap equalizer. . . . . . 39 3.7 fd = 0.032, D = 5 BER versus SNR with ZF Q-tap equalizer. . . . . . 41 3.8 fd = 0.064, D = 5 BER versus SNR with ZF Q-tap equalizer. . . . . . 41 3.9 The absolute value |Λij| of a banded channel matrix. . . . . . . . . . 42 3.10 The absolute value |Λ-1ij| of the inverse of the banded matrix in Fig. 3.9. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 42 4.1 JZF versus iteration. . . . . . . . . . . . . . . . . . . . . . . . . . . . 50 4.2 fd = 0.032, Compare the jointly design with separately design. BER versus SNR with ZF Q-tap equalizer. . . . . . . . . . . . . . . . . . . 51 4.3 fd = 0.064, Compare the jointly design with separately design. BER versus SNR with ZF Q-tap equalizer. . . . . . . . . . . . . . . . . . . 51 4.4 OFDM system with two time domain windows at Tx and Rx respectively. 52 4.5 JZF versus iteration (window at Tx and Rx). . . . . . . . . . . . . . . 56 4.6 fd = 0.032, compare the window at Tx and Rx with window at Rx only. BER versus SNR with ZF Q-tap equalizer. . . . . . . . . . . . . 57 4.7 fd = 0.064, compare the window at Tx and Rx with window at Rx only. BER versus SNR with ZF Q-tap equalizer. . . . . . . . . . . . . 57 4.8 fd = 0.032, BER vs. SNR complexity analysis. . . . . . . . . . . . . . 63 4.9 fd = 0.064, BER vs. SNR complexity analysis. . . . . . . . . . . . . . 63 4.10 fd = 0.032, BER vs. SNR complexity analysis. . . . . . . . . . . . . . 65 4.11 fd = 0.064, BER vs. SNR complexity analysis. . . . . . . . . . . . . . 65 A.1 Block diagram of the multipath channel . . . . . . . . . . . . . . . . . 70 A.2 Doppler shift at angles αn . . . . . . . . . . . . . . . . . . . . . . . . 71 | |
| dc.language.iso | en | |
| dc.subject | 通道間干擾 | zh_TW |
| dc.subject | 時變通道 | zh_TW |
| dc.subject | 等化器設計 | zh_TW |
| dc.subject | 正交分頻多工系統 | zh_TW |
| dc.subject | time-varying channel | en |
| dc.subject | ICI | en |
| dc.subject | OFDM | en |
| dc.subject | equalization | en |
| dc.title | 正交分頻多工系統在時變通道下同時域與頻域之等化 | zh_TW |
| dc.title | Joint Time-Domain and Frequency-Domain Equalization for OFDM Systems over Time-Varying Channels | en |
| dc.type | Thesis | |
| dc.date.schoolyear | 98-2 | |
| dc.description.degree | 碩士 | |
| dc.contributor.oralexamcommittee | 蘇炫榮,蘇柏青,鍾元暉 | |
| dc.subject.keyword | 時變通道,等化器設計,正交分頻多工系統,通道間干擾, | zh_TW |
| dc.subject.keyword | time-varying channel,equalization,OFDM,ICI, | en |
| dc.relation.page | 83 | |
| dc.rights.note | 有償授權 | |
| dc.date.accepted | 2010-08-10 | |
| 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 |
| 顯示於系所單位： | 電信工程學研究所 | |
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