長程演進上鏈通訊單載波分頻多工之通道估測技術

以作者查詢圖書館館藏

、以作者查詢臺灣博碩士

、以作者查詢全國書目

、勘誤回報

、線上人數：76

、訪客IP：3.138.170.21

姓名

黃士展(Shih-Chan Huang) 查詢紙本館藏

畢業系所

通訊工程學系

論文名稱

長程演進上鏈通訊單載波分頻多工之通道估測技術
(Channel Estimation Techniques of SC-FDM in LTE Uplink Communications)

相關論文

★ 運用SIFT特徵進行光學影像目標識別	★ 語音關鍵詞辨識擷取系統
★ 適用於筆記型電腦之WiMAX天線研究	★ 應用於凱氏天線X頻段之低雜訊放大器設計
★ 適用於802.11a/b/g WLAN USB dongle曲折型單極天線設計改良	★ 應用於行動裝置上的雙頻(GPS/BT)天線
★ SDH設備單體潛伏性障礙效能分析與維運技術	★ 無風扇嵌入式觸控液晶平板系統小型化之設計
★ 自動化RFID海關通關系統設計	★ 發展軟體演算實現線性調頻連續波雷達測距系統之設計
★ 近場通訊之智慧倉儲管理	★ 在Android 平台上實現NFC 室內定位
★ Android應用程式開發之電子化設備巡檢	★ 鏈路預算估測預期台灣衛星通訊的發展
★ 在中上衰落通道中分集結合技術之二階統計特性	★ 先進長程演進系統中載波聚合技術的初始同步

檔案

[Endnote RIS 格式]

[Bibtex 格式]

[相關文章]

[文章引用]

[完整記錄]

[館藏目錄]

[檢視]

[下載]

本電子論文使用權限為同意立即開放。
已達開放權限電子全文僅授權使用者為學術研究之目的，進行個人非營利性質之檢索、閱讀、列印。
請遵守中華民國著作權法之相關規定，切勿任意重製、散佈、改作、轉貼、播送，以免觸法。

摘要(中)

近來，由於單載波多重存取(SC-FDMA)技術具有較低的功率峰均比，長程演進(LTE)規格已將單載波分頻多重存取制訂成下一代行動通訊系統上鏈傳輸之多重存取技術。單載波分頻多重存取系統可視為正交分頻多重存取(OFDMA)系統的預先編碼版本，作法是將其資料先行經過離散傅利葉轉換(DFT)編碼。此預先編碼的動作有助於降低功率峰均比，進而達到節省行動傳輸工具電力。然而，像正交分頻多重存取系統所遭遇的問題一樣，單載波分頻多重存取對震盪器不穩及通道都卜勒頻移產生的頻率偏移敏感，此現象將造成子載波間干擾而使得系統效能降低。
為了增進系統效能及降低子載波干擾，通道估測技術是必須的。實際上，在單載波分頻多重存取系統上用於通道估測的引導信號(pilot signals)是在固定週期時間插入資料符元之間，此種編排技術被稱為塊狀引導信號編排(block-type pilot arrangement)。因此，基於此種引導信號編排方式，此篇論文提出一種頻域滑窗最小平方(FDLS)估測技術來估測通道變化。此提出的估測技術將與傳統的頻域最小平方估測和頻域最小均方誤差估測技術(FD-LMMSE)在高都卜勒頻移通道下做性能上的比較。此外，時域估測技術及其時域等化器也會在此篇論文中研究並且與頻域估測技術相互比較。

摘要(英)

Recently, Single Carrier Frequency Division Multiple Access (SC-FDMA) has been considered as a promising uplink transmission scheme for next generation mobile communication in LTE specification due to its low peak to average power ratio (PAPR). SC-FDMA system is a pre-coding scheme of OFDMA system, and its data signals are pre-coded by DFT. The pre-coding operation will reduce the PAPR, and it has benefit for mobile transmitters. However, similar to OFDMA, SC-FDMA is highly sensitive to frequency offsets caused by oscillator inaccuracies and the Doppler shift, which inevitably result in inter-carrier-interference (ICI), and will degrade the system performance.
In order to enhance system performance and mitigate ICI in SC-FDM, channel estimation techniques are necessary. In practice, the pilot signals for channel estimation in SC-FDMA systems are inserted to all subcarriers periodically in time, which is called block-type pilot arrangement. Therefore, based on the block-type pilot arrangement, we propose a frequency domain least-square (FDLS) with a redundant sliding rectangular window estimator to track the channel variations. The proposed method will be compared with conventional FDLS estimators and frequency-domain linear minimum mean-square-error (FD-LMMSE) estimators in high Doppler spread channels. Also, time domain estimators with associated equalizers are investigated and compared in this thesis.

關鍵字(中)

★ 功率峰均比
★ 頻域最小均方誤差估測
★ 頻域最小平方估測
★ 塊狀引導信號編排
★ 正交分頻多重存取
★ 單載波分頻多重存取

關鍵字(英)

★ PAPR
★ block-type pilot arrangement
★ SC-FDMA
★ FD-LMMSE
★ FDLS
★ OFDMA

論文目次

Chapter 1 System Description 1
1.1 Introduction to E-UTRA LTE 1
1.2 Downlink Multiple Access Scheme — OFDMA 1
1.2.1 The concept of OFDM 1
1.2.2 Continuous-time and discrete-time model 3
1.3 Uplink Multiple Access Scheme — SC-FDMA 5
1.3.1 The concept of SC-FDM 5
1.3.2 The advantages of SC-FDMA 6
1.4 Long-Term Evolution Frame and Slot Structure 9
1.4.1 Frame Structure type 1 and type 2 9
1.4.2 Slot structure and resource grid 10
Chapter 2 Channel Characteristics 13
2.1 Introduction to mobile radio propagation 13
2.2 Large-scale fading 14
2.2.1 Log-distance path loss model 15
2.2.2 Log-normal shadowing model 16
2.3 Small-scale fading 17
2.3.1 Complex baseband multipath channel model 18
2.3.2 Channel autocorrelation function 19
2.3.3 Coherence bandwidth of the channel 20
2.3.4 Coherence time of the channel 22
2.3.5 Discrete-time discrete-delay channel model 23
2.3.6 Categories of small-scale fading 23
2.4 Rayleigh fading channel model 25
2.4.1 Baseband channel mathematical models 25
2.4.2 Simulations for Jakes’model 27
Chapter 3 Characterization of Pilot Sequences 31
3.1 Pilot sequences analysis - time domain approach 31
3.1.1 LSSE criterion for channel estimation 31
3.1.2 Mean squared channel estimation error 33
3.1.3 Quality measure of channel estimation and upper bound 34
3.2 Pilot sequences analysis - frequency domain approach 35
3.2.1 GLF criterion for channel estimation 35
3.3 Signal ambiguity functions 37
3.3.1 Properties of the ambiguity function 38
3.3.2 Basic radar signals 39
3.3.3 Phase-coded pulse 41
Chapter 4 Channel Estimation Techniques for LTE Uplink Systems 47
4.1 Pilot signal arrangement 47
4.1.1 Block-type pilot arrangement 47
4.1.2 Comb-type pilot arrangement 47
4.2 Reference signal in LTE uplink systems 49
4.3 Pilot subchannel estimation techniques 50
4.3.1 Frequency domain least-squares (LS) pilot channel estimation 51
4.3.2 Frequency domain linear minimum mean-square error (LMMSE) pilot channel estimation 53
4.3.3 Frequency domain least-squares windowing pilot channel estimation 55
4.3.4 Time domain least-squares pilot channel estimation and zero-forcing equalizer 56
4.4 Data-block channel estimation techniques 59
4.4.1 Block data subchannel estimation 59
4.4.2 Decision-directed data subchannel estimation 60
4.4.3 Linear-interpolation data subchannel estimation 61
4.5 Simulation 62
4.5.1 Channel model and simulation parameters 62
4.5.2 Comparative simulations 65
Chapter 5 Conclusion 77
Bibliography 78

參考文獻

[1] H. Ekstrom, A. Furuskar, J. karlsson, M. meyer, S. Parkvall, J. Torsner, and M. Wahlqvist, “Technical solutions for the 3G long-term evolution,” IEEE Commun. Mag., vol. 44, no. 3, pp. 38-45, Mar. 2006.
[2] R. V. Nee, R. Prasad. OFDM for Wireless Multimedia Communications. Boston : Artech House, 2000.
[3] W. Li, and A. Hu, “Analyze of the interchannel interference of OFDM in time-varying channel,” in Proc. ICNNSP, Dec. 2003, vol. 1, pp. 845-847.
[4] J. G. Proakis and M. Salehi, Digital Communications, 5th ed. New York: McGraw-Hill, 2008.
[5] B. Karakaya, H. Arslan. “Channel estimation for LTE uplink in high Doppler spread,” in Proc. WCNC, Mar. 2008, pp. 1126-1130.
[6] 3GPP, TS 36.211 (V8.5.0), “Physical Channels and Modulation,” Mar. 2009.
[7] 3GPP, TS 36.104 (V8.5.0), “Base Station (BS) radio transmission and reception,” Mar. 2009.
[8] F. Pancaldi, G. M. Vitetta, R. Kalbasi, N. Al-Dhahir, M. Uysal, and H. Mheidat, “Single-carrier frequency domain equalization,” IEEE signal Process. Mag., vol. 5, no. 12, pp. 3548-3557, Sep. 2008.
[9] D. Falconer, S. L. Ariyavisitakul, A. Benyamin-seeyar, and B. Eidson, “Frequency domain equalization for single-carrier broadband wireless systems,” IEEE Commun. Mag., vol. 40, no. 4, pp. 58-66, Apr. 2002.
[10] H. G. Myung, J. Lim, and D. J. Goodman, “Single carrier FDMA for uplink wireless transmission,” IEEE Veh. Technol. Mag., vol. 1, no. 3, pp. 30–38, Sep. 2006.
[11] H. G. Myung, J. Lim, and D. J. Goodman, “Peak-to-average power Rratio of single carrier FDMA signals with pulse shaping,” in Proc. PIMRC, sep. 2006, pp. 1-5.
[12] H. Wang, X. You, B. Jiang, and X. Gao, “Performance Analysis of Frequency Domain Equalization in SC-FDMA Systems,” in Proc. ICC, May 2008, pp.4342-4347.
[13] F. Pancaldi and G. M. Vitetta, “Block channel equalization in the frequency domain,” IEEE Trans. Commun., vol. 53, no. 3, pp. 463-471, Mar. 2005.
[14] A. J. Goldsmith, Wireless Communications. New York: Cambridge University Press, 2005.
[15] T. S. Rappaport, Wireless Communications: Principles and Practice, 2nd ed. Englewood Cliffs, NJ: Prentice-Hall, 1996.
[16] C. Y. Lee, Mobile Communications Design Fundamentals, 2nd ed. New York: John Wiley & Sons, 1993.
[17] W.C. Jakes, Microwave Mobile Communications. New York: Wiley, 1974.
[18] Yunxin Li, and Xiaojing Huang, “The simulation of independent Rayleigh Faders,” IEEE Trans. Commun., vol. 50, no. 9, pp. 1503-1514, Sep. 2002.
[19] S. N. Crozier, D. D. Falconer, and S. A. Mahamoud, “Least sum of squared errors (LSSE) channel estimation,” Proc. Inst. Elect. Eng.—Radar Signal Process., vol. 138, no. 4, pp. 371-378, Aug. 1991.
[20] C. Tellambura, M. G. Parker, Y. J. Guo, S. J. Shepherd, and S. K. Barton, “Optimal sequences for channel estimation using discrete Fourier transform techniques,” IEEE Trans. Commun., vol. 47, no. 2, pp. 230-238, Feb. 1999.
[21] N. Levanon and E. Mozeson, Radar signals. Hoboken, NJ: Wiley, 2004.
[22] J. C. L. Ng, K. B. Letaief, and R. D. Murch, “Complex optimal sequences with constant magnitude for fast channel estimation initialization,” IEEE Trans. Commun., vol. 46, no. 3, pp. 305-308, Mar. 1998.
[23] B. M. Popovic, “Generalized chirp-like polyphase sequences with optimum correlation properties,” IEEE Trans. Inf. Theory, vol. 38, no. 4, pp. 1406-1409, Jul. 1992.
[24] B. J. Jeong and H. K. Chung, “Pilot structures for the uplink single carrier FDMA transmission systems,” in Proc. VTC, May 2008, pp. 2552-2556.
[25] T. Kawamura, Y. Kishiyama, K. Highchi, and M. Sawahashi, “Orthogonal pilot channel using combination of FDMA and CDMA in single-carrier FDMA-based Evolved UTRA uplink,” in Proc. WCNC, Mar. 2007, pp. 2403-2408.
[26] S. Coleri, M. Ergen, A. Puri, and A. Bahai, “Channel estimation techniques based on pilot arrangement in OFDM systems,” IEEE trans. Broacast., vol. 48, no. 3, pp. 223-229, Sep. 2002.
[27] Y. Zhao and A. Huang, “A novel channel estimation method for OFDM mobile communication systems based on pilot signals and transfer-domain processing,” in Proc. VTC, May 1997, pp. 2089-2093.
[28] O. Edfors, M. Sandell, J.-J. van de Beek, S. K. Wilson, and P. O. Borjesson, “OFDM channel estimation by singular value decomposition,” IEEE trans. Commun,. Vo1. 46, no. 7, pp. 931-939, Jul. 1998.
[29] J.-C. Lin, “Least-squares channel estimation for mobile OFDM communication on time-varying frequency-selective fading channels,” IEEE Trans. Veh. Technol., vol 57, no. 6, pp. 3538-3550, Nov. 2008.
[30] J.-J. van de Beek, O. Edfors, M. Sandell, S. K. Wilson, and P. O. Borjesson, “On channel estimation in OFDM systems,” in Proc. VETEC, Jul. 1995, vol. 2, pp. 815-819.
[31] M. K. mehmet and H. Arslan, “Channel estimation for wireless OFDM systems,” Commun. Surveys Tuts., vol. 9, no. 2, pp. 18-48, 2nd quarter 2007.
[32] 3GPP, TR 25.943 (V8.0.0), “Deployment aspects,” Dec. 2008.
[33] C. Lin, F. Yang, W. Zhang, and Y. Xu, “An interpolation based channel estimation method for MIMO OFDM system,” in Proc. VTC, Sep. 2008, pp. 1-5.
[34] M. Morelli, L. Sanguinetti, and U. Mengali, “Channel estimation for adaptive frequency-domain equalization,” IEEE Trans. Wireless Commun., vol. 4, no. 5, pp. 2508-2518, Sep. 2005.
[35] A. U. Ahmed, S. C. Thomoson, and J. R. Zeidler, “Channel estimation and equalization for CE-OFDM in multipath fading channels,” in Proc. MILCOM, Nov. 2008, pp. 1-7.
[36] X. Ma, H. Kobayashi, and S. C. Schwartz, “Joint frequency offset and channel estimation for OFDM,” in Proc. GLOBOCOM, Dec. 2003, vol. 1, pp. 15-19.
[37] W. Su and Z. Pan, “Iterative LS channel estimation for OFDM systems based on transform-domain processing,” in Proc. WICOM, Sep. 2007, pp. 416-419.
[38] S. Haykin, Communication Systems, 4th ed. Hoboken, NJ: John Wiley & Sons, 2001.
[39] S. Haykin, Adaptive Filter Theory, 4th ed. Upper Saddle River, NJ: Prentice-Hall, 2002.
[40] Henry Stark, John W. Woods, Probability and Random Processes with Applications to Signal Processing, 3rd ed. Englewood Cliffs, NJ: Prentice-Hall, 2002.

指導教授

林嘉慶(Jia-Chin Lin)

審核日期

2009-7-14

推文