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研究生:阮庭亮
研究生(外文):Ting-Liang Ruan
論文名稱:基於正交分頻多工之中繼網路在通道估測誤差之載波頻率偏移估測
論文名稱(外文):Carrier Frequency Offset Estimation Bounds with channel Estimation error for OFDM-based Relay Networks
指導教授:陳俊全陳俊全引用關係
指導教授(外文):Chun-Chyuan Chen
學位類別:碩士
校院名稱:國立東華大學
系所名稱:電機工程學系
學門:工程學門
學類:電資工程學類
論文種類:學術論文
論文出版年:2014
畢業學年度:102
論文頁數:34
中文關鍵詞:正交分頻多工中繼網路載波頻率偏移MIMOCRLB
外文關鍵詞:OFDMrelay networkcarrier frequency offsetMIMOCRLB
相關次數:
  • 被引用被引用:1
  • 點閱點閱:114
  • 評分評分:
  • 下載下載:14
  • 收藏至我的研究室書目清單書目收藏:0
合作式的中繼網路系統在未來行動通訊系統當中扮演著重要的角色。而正交分頻多工技術可以提供較高的傳輸速率與抵抗多重路徑的通道衰減。然而,載波頻率偏移會造成正交分頻多工訊號的正交性破壞並降低系統效能。因此,本論文將針對應用於正交分頻多工系統之中繼網路在具有通道估測誤差下之載波頻率偏移估測效能分析。
我們先推導出中繼網路系統在已知通道參數下之載波頻率偏移估測的費雪訊息矩陣。然後將其中的通道參數代換成估測通道與通道誤差的總和。透過隨機的估測誤差模型,我們可以修正所對應的費雪訊息矩陣,再計算出克拉默界限。
除此之外,我們也透過不同參數的模擬來觀察通道估測誤差對載波頻率偏移估測的影響。所提供的模擬結果可以作為未來設計中繼網路系統的重要參考依據。

Cooperative relay network system in which future mobile communication system plays an important role. The orthogonal frequency division multiplexing technology can provide higher transmission rates and resistance multipath channel fading. However, the carrier frequency offset will cause the orthogonal frequency division multiplexing signals orthogonality damage and reduce system performance. Therefore, this paper will focus on applied orthogonal frequency division multiplexing system relay network with a carrier frequency of the channel estimation error under the offset estimation performance analysis.
We first derive the relay network system known in the carrier frequency offset estimate channel parameters under the Fisher information matrix. Generation will be one of the channel parameters and then replaced by the sum of the channel and the channel estimation error. Through random estimation error model, we can fix the corresponding Fisher information matrix, and then calculate the Cramer-Rao bound.
In addition, we also simulate different parameters through to observe the channel estimation error on the carrier frequency offset estimate the impact. The simulation results can be provided as an important reference for future design relay network system.

摘要
Abstract
第一章 緒論
1.1研究背景
1.2研究動機
1.3論文架構
第二章 系統介紹
2.1 正交分頻多工系統
2.2中繼網路
2.3 Cramer-Rao Lower Bound 估測
2.4 CRLB的定理與公式
第三章 系統架構與數學模型
3.1 傳統正交分頻多工系統架構
3.2系統模型
3.3 Cramer-Rao Lower Bound之推導
3.4加入channel error之推導
第四章 模擬結果
4.1中繼網路中的Single-path和Multipath
4.2 CRLB跟加入error在中繼網路之中繼訊雜比
第五章 結論
參考文獻

[1] W. Y. Zou and Y. Wu, “COFDM: an overview,” IEEE Trans.
Broadcastzng, vol. 41, pp. 1-8, Mar. 1995.

[2] M. Morelli and U. Mengali, “Carrier-frequency estimation for transmissions over selective channels,” IEEE Trans. Commun., vol. 48, no. 9,pp. 1580–1589, Sep. 2000.

[3] X. Ma, H. Kobayashi, and S.C Schwartz, “Effect of frequency offset on BER of OFDM and single carrier systems,” in Proc. IEEE Int. Conf. on Commun., vol. 3, pp. 22-27, June 1996.

[4] T. Roman, S. Visuri, and V. Koivunen, “Blind frequency synchronization in OFDM via diagonality criterion,” IEEE trans. Signal Process., vol. 54, no. 8, pp. 3125-3135, Aug. 2006.

[5] Y. Kim and H. Liu, “Infrastructure relay transmission with cooperative MIMO,” IEEE Trans. Veh. Technol., vol. 57, no. 4, pp. 2180–2188, Jul. 2008.

[6] Q. Jiang, K. Zhang, J. Liu, and G. Shen, “Joint carrier frequency offset and channel estimation for AF cooperative OFDM systems,” Wireless Personal Commun., pp. 1-27, Aug. 2009.

[7] S. M. Kay, Fundamentals of Statistical Signal Processing: Estimation Theory, Prentice Hall, Signal Processing Series, 1993.

[8] P. A. Parker, P. Mitran, D. W. Bliss, and V. Tarokh, “On bounds and algorithms for frequency synchronization for collaborative communication systems," IEEE Trans. Signal Process., vol. 56, no. 8, pp. 3742-3752,Aug. 2008

[9] Z. Zhongshan, Z. Wei, and C. Tellambura, “OFDMA uplink frequency offset estimation via cooperative relaying," IEEE Trans. Wireless Commun., vol. 8, no. 9, pp. 4450-4456, 2009.

[10] L. Bai and Q. Yin, “CRB for carrier frequency offset estimation with pilot and virtual subcarriers,” IEEE Commun. Lett., vol. 16, pp. 522-525, Apr. 2012.

[11] S. M. Kay, Fundamentals of Statistical Signal Processing, Estimation Theory. Prentice Hall, Signal Processing Series, 1993.

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