適用於多輸入多輸出天線架構下向上鏈結正交分頻多重接取系統之盲目載波頻率偏移估測

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：59

、訪客IP：18.189.188.8

姓名

王易凡(Yi-Fan Wang) 查詢紙本館藏

畢業系所

通訊工程學系

論文名稱

適用於多輸入多輸出天線架構下向上鏈結正交分頻多重接取系統之盲目載波頻率偏移估測
(Blind Carrier Frequency Offset Estimation in OFDMA Uplink with MIMO Structure)

相關論文

★ 利用手持式手機工具優化行動網路系統於特殊型活動環境	★ 穿戴裝置動態軌跡曲線演算法設計
★ 石英諧振器之電極面設計對振盪頻率擾動之溫度相依性研究	★ 股票開盤價漲跌預測
★ 感知無線電異質網路下以不完美頻譜偵測進行資源配置之探討	★ 大數量且有限天線之多輸入多輸出系統效能分析
★ 具有元學習分類權重轉移網路生成遮罩於少樣本圖像分割技術	★ 具有注意力機制之隱式表示於影像重建三維人體模型
★ 使用對抗式圖形神經網路之物件偵測張榮	★ 基於弱監督式學習可變形模型之三維人臉重建
★ 以非監督式表徵分離學習之邊緣運算裝置低延遲樂曲中人聲轉換架構	★ 基於序列至序列模型之 FMCW雷達估計人體姿勢
★ 基於多層次注意力機制之單目相機語意場景補全技術	★ 應用於3GPP WCDMA-FDD上傳鏈路系統的遞迴最小平方波束合成犛耙式接收機
★ 調適性遠時程瑞雷衰退通道預測演算法設計與性能比較	★ 智慧型天線之複合式到達方位-時間延遲估測演算法及Geo-location應用

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)

在正交分頻多重接取系統中盲目式載波頻率偏移估測演算法已經在近年來發展於一些文獻中。其中在文獻[1]中提出的盲目式估測方法受到很大的關注，此方法使用多重信號特徵(MUSIC)的演算法在運算上需要大量的搜尋使得運算複雜度提高，且此法也有估測失誤的問題。因此在本篇論文中我們達成了下面兩項任務。首先，我們提出了一個簡易的遞迴方法使得運算複雜度能夠降低，模擬的結果也驗證了這方法的效用且估測結果接近克拉美-羅邊界(CRB)。其次，我們利用貝式(Bayesian)方法透過馬可夫鏈蒙地卡羅 (MCMC)的方式來減輕估測失誤的問題，模擬結果也顯示其擁有優異的效果。此外我們提出的方法適用於多輸入多輸出(MIMO) 天線架構，在此種架構下能提高載波頻率偏移的估測結果。

摘要(英)

Blind carrier frequency offset (CFO) estimation algorithms in orthogonal frequency division multiple access (OFDMA) systems have been developed in literatures recently. In [1], the blind estimation scheme has drawn a lot attention, but the computational complexity caused by the MUSIC exhaustive search is high and the scheme has the mismatch problem. Therefore, in this thesis, we have two works as follows. First, a simple iteration scheme is proposed to reduce the computational complexity. The simulation results demonstrate the efficacy of the proposed scheme and the performance is near to the Cramer-Rao bound (CRB). Secondly, we utilize the Markov chain Monte Carlo (MCMC) method based on a Bayesian approach as the estimator in order to mitigate the mismatch problem. Simulation results show that the proposed method gains the superior performance. Besides, the proposed algorithms are capable of the multiple antennas with MIMO structure which enhances the performance of CFO estimation.

關鍵字(中)

★ 載波頻率偏移
★ 正交分頻多重接取系統
★ 遞迴方法
★ 馬可夫鏈蒙地卡羅

關鍵字(英)

★ Markov chain Monte Carlo
★ iteration method
★ OFDMA
★ Carrier frequency offset

論文目次

Contents I
List of Figures III
List of Tables VI
Chapter 1 1
Introduction 1
Chapter 2 System Model 4
2.1 Interleaved Subcarrier Assignment Scheme 4
2.2 Interleaved OFDMA Uplink System Model 5
2.3 Forming to DOA Model 9
2.4 With MIMO Structure 11
Chapter 3 Simple Iteration Method 12
3.1 MUSIC-based Approach 12
3.2 Maximum Likelihood and Approximate Maximum Likelihood Approach 14
3.3 Proposed Iteration Method 16
3.4 CRB of the CFO Estimation 19
Chapter 4 Markov Chain Monte Carlo Method 22
4.1 Bayesian Approach 23
4.2 MCMC Algorithm 25
4.3 Modified Posterior Function 26
Chapter 5 Simulation Results 30
5.1 Simulation Parameters 30
5.2 Simulation Results of Simple Iteration Method 31
5.2.1 MSE and RMSE versus SNR 31
5.2.2 Performance comparison under different number of users 34
5.2.3 Performance comparison with MIMO structure 38
5.3 Simulation Results of MCMC Method 41
5.3.1 MSE and RMSE versus SNR 41
5.3.2 Performance comparison under different number of users 44
5.3.3 Performance comparison with MIMO structure 46
5.3.4 Mismatch probability 49
Chapter 6 Conclusions 51
Reference 52
Appendix A 54

參考文獻

[1] Z. Cao, U. Tureli and Y. Yao, “Deterministic multiuser carrier-frequency offset estimation for interleaved OFDMA uplink,” IEEE Trans. Commun., vol. 52, no. 9, pp. 1585-1594, Sep. 2004.
[2] L. Kuang, J. Lu, Z. Ni and J. Zheng, “Non-pilot-aided carrier frequency tracking for uplink OFDMA systems,” in Proc. IEEE Inter. Conf. on Commun., June 2004, vol. 6, pp. 3193-3196.
[3] M. Hua and J. Zhu, “Blind estimation of frequency offset and time delay in uplink OFDMA,” in Proc. Vehicular Technology Conf., June 2005, vol. 61, pp. 1094–1099.
[4] J. van de Beek, P. O. Borjesson, M. Boucheret, D. Landstrom, J. M. Arenas, P. Odling, C. Ostberg, M. Wahlqvist and S. K. Wilson, “Time and frequency synchronization scheme for multiuser OFDM,” IEEE J. Select. Areas Commun., vol. 17, no. 11, pp. 1900-1914, Nov. 1999.
[5] M. Morelli, “Timing and frequency synchronization for the uplink of an OFDMA System,” IEEE Trans. Commun., vol. 52, no. 2, pp. 296-306, Feb. 2004.
[6] Z. Cao, U. Tureli and P. Liu, “Optimum subcarrier assignment for OFDMA uplink,” in Proc. Conference Record of the Thirty-Seventh Asilomar Conference on Signals, Systems and Computers, Nov. 2003, vol. 1, pp.708-712.
[7] P.Stoica and K. C.Sharman, “Maximum likelihood methods for direction-of-arrival estimation,” IEEE Trans. on Acoustics, Speech, and Signal Proce., vol. 38, no. 7, pp. 1132-1143, July 1990.
[8] S.M. Alamouti, “A simple transmit diversity technique for wireless communications,” IEEE J. Select. Areas Commun., vol. 16, pp. 1451-1458, Oct. 1998.
[9] B. Ai, Z. Yang, C. Pan; J. Ge, Y. Wang and Z. Lu, “On the synchronization techniques for wireless OFDM systems,” IEEE Trans. on Broadcas.,vol. 52, pp. 236-244, June 2006.
[10] Z. Cao, U. Tureli and Y. Yao, “Low-complexity orthogonal spectral signal construction for generalized OFDMA uplink with frequency synchronization errors,” IEEE Trans. on Veh. Technol., vol. 56, pp. 1143-1154, May 2007.
[11] P. Stoica and A. Nehorai, “MUSIC, maximum likelihood, and Cramer-Rao bound,” IEEE Trans. on Acoustics, Speech, and Signal Proce., vol. 37, no. 5, pp. 720-741, May 1989.
[12] S. Haykin, Adaptive Filter Theorem, 4th ed., NJ: Prentice Hall, 2002.
[13] G. Casella and R. L. Berger, Statistical inference, 2nd ed., Pacific Grove, CA : Thomson Learning, 2002.
[14] J. Shao, Mathematical statistics, 2nd ed., New York: Springer, 1999.
[15] H. Yufei and P. M. Djuric, “A Bayesian approach to direction-of-arrival estimation of coherent signals,” in Proc. IEEE signal proce. workshop on, June 1999, pp. 371-374.
[16] C. P. Robert, The Bayesian choice: from decision-theoretic foundations to computational implementation, 2nd ed., New York: Springer, 2001.
[17] J. Huang, Y. Sun, K. Liu and H. Qin, “A new Gibbs sampling DOA estimator based on Bayesian method,” in Proc. IEEE Inter. Conf. on Acoustics, Speech, and Signal Proce., 2003, vol.5, pp. V - 229-32.
[18] S. M. Ross, Simulation, 3rd ed., Academic Press, 2002.

指導教授

陳永芳(Yung-Fang Chen)

審核日期

2007-7-18

推文