多重輸入和多重輸出之正交分頻多工的低 軌道衛星通訊系統中基於擴展?∞濾波器的 自適應載波頻率偏移估測研究

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：45

、訪客IP：3.17.156.154

姓名

郭晉瑋(Chin-Wei Kuo) 查詢紙本館藏

畢業系所

通訊工程學系

論文名稱

多重輸入和多重輸出之正交分頻多工的低軌道衛星通訊系統中基於擴展?∞濾波器的自適應載波頻率偏移估測研究
(Adaptive Carrier Frequency Offset Estimation for MIMO-OFDM in LEO Satellite Communication Systems by Using Extended ?∞ Filter)

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]

至系統瀏覽論文 (2025-8-29以後開放)

摘要(中)

在這篇論文中，我們探討了基於Extended ?∞ filter 所設計的載
波頻率偏移估測方法且應用在多重輸入多重輸出之低軌衛星(Low
Earth orbit)通訊系統。由於衛星與地面接收站之間的高相對速度所引
起的多普勒偏移會導致接受訊號的失真。因此本文提出基於正交分頻
多工(OFDM)的衛星傳輸適應性通訊演算法進而改善多普勒偏移問題，
並且利用衛星是沿著地球進行圓軌道運動的特性以及多普勒特徵來
進一步更新衛星移動到下一個時間位置時的多普勒值。模擬結果表明，
提出的估測器與擴展卡爾曼濾波器(EKF)相比，由於提出的估測器是
不需要對干擾有任何的了解，因此能夠在非高斯雜訊下以及模型有誤
差的情況中，依然有著良好的估計性能和在有限樣本的情況下能快速
的收斂。以及在均方誤差(mean square error) 的精確度上也能夠貼近
於克拉瑪界線(Cramer-Rao Bound)。

摘要(英)

In this paper, we investigate the adaptive carrier frequency offset (CFO) estimation method based on the Extended ?∞ filter and maximum likelihood estimation of channel coefficients for MIMO-OFDM in low Earth orbit (LEO) satellite communication system. Since the Doppler shift is caused by the high relative velocity between the satellite and the ground receiving station causes the distortion of the received signal. Consequently, to overcome this problem, this study proposes an adaptive communication algorithm and turbo iteration to make the estimated value be close to the
exact value based on MIMO-OFDM for satellite transmission to improve the Doppler effect problem, and further update the Doppler value when the satellite moves to the next time index by using the characteristics that the satellite is moving in a circular orbit along the Earth and the Doppler
feature. The simulation results show that the proposed estimator has good performance under model error and Bernoulli Gaussian impulse noise, and can fast convergence in limited sample sizes, also, compared with the Extended Kalman filter (EKF), because the Extended ?∞ filter does not require any information about the interference. The mean square error (MSE) is also near to the Cramer-Rao Bounds (CRBs).

關鍵字(中)

★ 擴展H無限濾波器
★ 載波頻率偏移
★ 多頻正交分工
★ 低軌道地球衛星通訊系統
★ 擴展卡爾曼濾波器

關鍵字(英)

★ Extended H∞ filter
★ Carrier Frequency Offset (CFO)
★ Orthogonal frequency division multiplexing (OFDM)
★ low earth orbit (LEO) Satellite Communication Systems
★ Extended Kalman filter (EKF)

論文目次

論文摘要 i
Abstract ii
致謝 iii
Contents iv
List of Figures vi
List of Tables vi
Chapter 1. Introduction 1
1.1. Satellite Communication 1
1.2. Multiple-Input Multiple-Output OFDM 4
1.3. Doppler Characterization 6
1.4. Extended H∞ Filter 8
1.5. Organization 9
1.6. Abbreviations 9
1.7. Notation 11
Chapter 2. System Model 13
2.1. Transmitter 13
2.2. Wireless Channel Model 14
2.3. Receiver 15
2.4. LEO Satellite Doppler Effect Analysis 17
Chapter 3. State Space Model 21
3.1. State Space Model in Each OFDM Symbol 21
3.2. State Space Model under Different Satellite Positions 23
Chapter 4. Maximum Likelihood Channel Estimation 24
Chapter 5. Extended H∞ Filter Design 26
5.1. Introducing of Extended H∞ Filter Theory 26
5.2. Game Theory 27
5.3. Game Theory Approach to Extended H∞ Filter 27
Chapter 6. Proposed New Algorithm Scheme 29
6.1. Mathematical Derivation of Extended H∞ Filter for Adaptive CFO Estimation 30
6.2. CFO Estimation based on Doppler Characterization 39
6.3. Initial CFO and Channel Estimation 41
6.4. Extended H∞ for adaptive CFO Estimation 43
6.5. Final Channel Estimation 45
6.6. Procedure of Proposed 46
Chapter 7. Simulation Results 49
7.1. The performance of Extended H∞ Filter 50
7.2. The Proposed Extended H∞ Filter Performance 53
7.3. The performance of the proposed algorithm at different satellite positions 58
Chapter 8. Conclusion 60
References 61
Appendix A 64
Appendix B 66
Appendix C 67

參考文獻

[1] B. Evans, O. Onireti, T. Spathopoulos and M. A. Imran, "The role of satellites in 5G," 2015 23rd European Signal Processing Conference (EUSIPCO), 2015, pp. 2756-2760.
[2] J. Farserotu and R. Prasad, "A survey of future broadband multimedia satellite systems, issues and trends," in IEEE Communications Magazine, vol. 38, no. 6, pp. 128-133, June 2000.
[3] J. Lin, Z. Hou, Y. Zhou, L. Tian and J. Shi, "Map Estimation Based on Doppler Characterization in Broadband and Mobile LEO Satellite Communications," 2016 IEEE 83rd Vehicular Technology Conference (VTC Spring), 2016, pp. 1-5.
[4] Jungwon Lee, Hui-Ling Lou, D. Toumpakaris and J. M. Cioffi, "Effect of carrier frequency offset on OFDM systems for multipath fading channels," IEEE Global Telecommunications Conference, 2004. GLOBECOM ′04., 2004, pp. 3721-3725 Vol.6.
[5] W. Wang, Y. Tong, L. Li, A. -A. Lu, L. You and X. Gao, "Near Optimal Timing and Frequency Offset Estimation for 5G Integrated LEO Satellite Communication System," in IEEE Access, vol. 7, pp. 113298-113310, 2019.
[6] H. Bolcskei, D. Gesbert and A. J. Paulraj, "On the capacity of OFDM-based spatial multiplexing systems," in IEEE Transactions on Communications, vol. 50, no. 2, pp. 225-234, Feb. 2002.
[7] K. Sheikh, D. Gesbert, D. Gore and A. Paulraj, "Smart antennas for broadband wireless access networks," in IEEE Communications Magazine, vol. 37, no. 11, pp. 100-105, Nov. 1999.
[8] Y. Mostofi and D. C. Cox, "Mathematical analysis of the impact of timing synchronization errors on the performance of an OFDM system," in IEEE Transactions on Communications, vol. 54, no. 2, pp. 226-230, Feb. 2006.
[9] P. H. Moose, "A technique for orthogonal frequency division multiplexing frequency offset correction," in IEEE Transactions on Communications, vol. 42, no. 10, pp. 2908-2914, Oct. 1994.
[10] B. Lu, Xiaodong Wang and K. R. Narayanan, "LDPC-based space-time coded OFDM systems over correlated fading channels: Performance analysis and receiver design," in IEEE Transactions on Communications, vol. 50, no. 1, pp. 74-88, Jan. 2002.
[11] Mi-Kyung Oh, Xiaoli Ma, G. B. Giannakis and Dong-Jo Park, "Hopping pilots for estimation of frequency-offset and multiantenna channels in MIMO OFDM," GLOBECOM ′03. IEEE Global Telecommunications Conference (IEEE Cat. No.03CH37489), 2003, pp. 1084-1088 Vol.2.
[12] M. Enescu, T. ROman and V. Koivunen, "Channel estimation and tracking in spatially correlated MIMO OFDM systems," IEEE Workshop on Statistical Signal Processing, 2003, 2003, pp. 347-350.
[13] C. Min, N. Chang, J. Cha and J. Kang, "MIMO-OFDM Downlink Channel Prediction for IEEE802.16e Systems Using Kalman Filter," 2007 IEEE Wireless Communications and Networking Conference, 2007, pp. 942-946.
[14] Tang, Zhou, Wang, 2019. Singular Value Decomposition Channel Estimation in STBC MIMO-OFDM System. Applied Sciences 9, 3067.
[15] Yingwei Yao and G. B. Giannakis, "Blind carrier frequency offset estimation in SISO, MIMO, and multiuser OFDM systems," in IEEE Transactions on Communications, vol. 53, no. 1, pp. 173-183, Jan. 2005.
[16] Y. Jiang, H. Minn, X. Gao, X. You and Y. Li, "Frequency Offset Estimation and Training Sequence Design for MIMO OFDM," in IEEE Transactions on Wireless Communications, vol. 7, no. 4, pp. 1244-1254, April 2008.
[17] Y. Jiang, H. Minn, X. You and X. Gao, "Simplified Frequency Offset Estimation for MIMO OFDM Systems," in IEEE Transactions on Vehicular Technology, vol. 57, no. 5, pp. 3246-3251, Sept. 2008.
[18] K. Cai, X. Li, J. Du, Y. -C. Wu and F. Gao, "CFO estimation in OFDM systems under timing and channel length uncertainties with model averaging," in IEEE Transactions on Wireless Communications, vol. 9, no. 3, pp. 970-974, March 2010.
[19] P. Stoica and T. Soderstrom, "Statistical analysis of MUSIC and subspace rotation estimates of sinusoidal frequencies," in IEEE Transactions on Signal Processing, vol. 39, no. 8, pp. 1836-1847, Aug. 1991.
[20] B. S. Krongold, "Analysis of Cyclic-Prefix Correlation Statistics and their Use in OFDM Timing and Frequency Synchronization," Conference Record of the Thirty-Ninth Asilomar Conference onSignals, Systems and Computers, 2005., 2005, pp. 1466-1470.
[21] Yong Sun, Zixiang Xiong and Xiaodong Wang, "EM-based iterative receiver design with carrier-frequency offset estimation for MIMO OFDM systems," in IEEE Transactions on Communications, vol. 53, no. 4, pp. 581-586, April 2005.
[22] M. Katayama, A. Ogawa and N. Morinaga, "Carrier synchronization under Doppler shift of the nongeostationary satellite communication systems," [Proceedings] Singapore ICCS/ISITA `92, 1992, pp. 466-470 vol.2.
[23] I. Ali, N. Al-Dhahir and J. E. Hershey, "Doppler characterization for LEO satellites," in IEEE Transactions on Communications, vol. 46, no. 3, pp. 309-313, March 1998.
[24] Roman, T., Enescu, M. & Koivunen, V. Joint Time-Domain Tracking of Channel and Frequency Offsets for MIMO OFDM Systems. Wireless Pers Commun 31, 181–200 (2004).
[25] E. P. Simon, H. Hijazi and L. Ros, "Joint Carrier Frequency Offset and fast time-varying channel estimation for MIMO-OFDM systems," 2010 7th International Symposium on Communication Systems, Networks & Digital Signal Processing (CSNDSP 2010), 2010, pp. 167-172.
[26] X. . -M. Shen and L. Deng, "Game theory approach to discrete H/sub /spl infin// filter design," in IEEE Transactions on Signal Processing, vol. 45, no. 4, pp. 1092-1095, April 1997.
[27] Dan Simon. 2006. "Optimal State Estimation: Kalman, H Infinity, and Nonlinear Approaches." Wiley-Interscience, USA.
[28] Poveda, H.; Grivef, E.; Ferre, G.; Christov, N. 2012 Proceedings of the 20th European Signal Processing Conference (EUSIPCO) 2012, 121–125.
[29] A. P. Palamides and A. M. Maras, "A Bayesian State–Space Approach to Combat Inter-Carrier Interference in OFDM Systems," in IEEE Signal Processing Letters, vol. 14, no. 10, pp. 677-679, Oct. 2007, doi: 10.1109/LSP.2007.898321.
[30] Y. Jing, F. Yin and Z. Chen, "An HαFilter Based Approach to Combat Inter-Carrier Interference for OFDM Systems," in IEEE Communications Letters, vol. 12, no. 6, pp. 453-455, June 2008.
[31] Kuo-Ching Fu, Shi-Hao Chiu and Yung-Fang Chen, "Joint Maximum Likelihood Estimation of Carrier Frequency Offsets and Channels in OFDM Systems," 2012 12th International Conference on ITS Telecommunications, 2012, pp. 710-715
[32] Jaechan Lin, "A tutorial – game theory-based extended H infinity filtering approach to nonlinear problems in signal processing, " Digital Signal Processing, vol 34, 2014, pp.1-15.
[33] Y. Jing, X. Yang, L. Ma, J. Ma and B. Niu, "Joint multiple CFOs and channel estimation for uplink OFDMA systems without noise statistics," 2012 2nd International Conference on Consumer Electronics, Communications and Networks (CECNet), 2012, pp. 2674-2677.
[34] 3GPP TR38.811, “3rd generation partnership project; technical specification group radio access network; study new radio (NR) to support non-terrestrial networks,” 3GPP, Tech. Rep., Jun.2018.
[35] S. Salari, M. Ardebilipour and M. Ahmadian, "Joint MaximumLikelihood Frequency Offset and Channel Estimation for MIMO-OFDM Systems," lET Commun., vol. 2, no. 8, pp. 1069-1076, Sep. 2008.
[36] P. Stoica and O. Besson, "Training sequence design for frequency offset and frequency-selective channel estimation," in IEEE Transactions on Communications, vol. 51, no. 11, pp. 1910-1917, Nov. 2003.
[37] Yu, Y., Liang, Y., 2012. Joint Carrier Frequency Offset and Channel Estimation for MIMO-OFDM Systems Using Extended H_{∞} Filter. IEEE Communications Letters 16, 476–478.. doi:10.1109/lcomm.2012.021612.112610
[38] Ghadimi, S.; Hussian, J.; Sidhu, T.S.; Primak, S.: Effect of impulse noise on wireless relay channel. Wirel. Sens. Netw. 4(6), 167–172 (2012)

指導教授

陳永芳(Yung-Fang Chen)

審核日期

2022-8-29

推文