Skip navigation

DSpace

機構典藏 DSpace 系統致力於保存各式數位資料(如:文字、圖片、PDF)並使其易於取用。

點此認識 DSpace
DSpace logo
English
中文
  • 瀏覽論文
    • 校院系所
    • 出版年
    • 作者
    • 標題
    • 關鍵字
    • 指導教授
  • 搜尋 TDR
  • 授權 Q&A
    • 我的頁面
    • 接受 E-mail 通知
    • 編輯個人資料
  1. NTU Theses and Dissertations Repository
  2. 電機資訊學院
  3. 電信工程學研究所
請用此 Handle URI 來引用此文件: http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/85171
完整後設資料紀錄
DC 欄位值語言
dc.contributor.advisor鐘嘉德陳維昌zh_TW
dc.contributor.advisorChar-Dir ChungWei-Chang Chenen
dc.contributor.author王仲盡zh_TW
dc.contributor.authorChung-Chin Wangen
dc.date.accessioned2023-03-19T22:48:02Z-
dc.date.available2023-12-26-
dc.date.copyright2022-08-15-
dc.date.issued2022-
dc.date.submitted2002-01-01-
dc.identifier.citation[1] R. Hadani et al., “Orthogonal time frequency space modulation,” in Proc. IEEE Wireless Commun. Netw. Conf., San Francisco, CA, USA, Mar. 2017, pp. 1–6.
[2] R. Hadani et al., Orthogonal Time Frequency Space Modulation. Accessed: Aug. 2018. [Online]. Available: https://arxiv.org/pdf/ 1808.00519.pdf
[3] P. Raviteja, Y. Hong, E. Viterbo, and E. Biglieri, “Practical pulse-shaping waveforms for reduced-cyclic-prefix OTFS,” IEEE Trans. Veh. Tech., vol. 68, no. 1, pp. 957–961, Jan. 2019.
[4] P. Raviteja et al., “Interference cancellation and iterative detection for orthogonal time frequency space modulation,” IEEE Trans. Wireless Commun., vol. 17, no. 10, pp. 6501–6515, Oct. 2018.
[5] P. Raviteja et al., “Low-complexity iterative detection for orthogonal time frequency space modulation,” in Proc. IEEE Wireless Commun. Netw. Conf., Barcelona, Apr. 2018, pp. 1–6.
[6] S. Tiwari, S. S. Das, and V. R. Rangamgari, “Low complexity LMMSE receiver for OTFS,” IEEE Commun. Lett., vol. 23, no. 12, pp. 2205–2209, Dec. 2019.
[7] Z. Wei, W. Yuan, S. Li, J. Yuan, and D. W. K. Ng, “Transmitter and receiver window designs for orthogonal time-frequency space modulation,” IEEE Trans. Commun., vol. 69, no. 4, pp. 2207–2223, Apr. 2021.
[8] P. Raviteja, K. T. Phan and Y. Hong, “Embedded pilot-aided channel estimation for OTFS in delay-Doppler channels,” IEEE Trans. Veh. Technol., vol. 68, no. 5, pp. 4906-4917, May 2019.
[9] Z. Wei, W. Yuan, S. Li, J. Yuan, and D. W. K. Ng, “Performance analysis and window design for channel estimation of OTFS modulation,” in Proc. IEEE Int. Conf. Commun., Montreal, QC, Canada, Jun. 2021, pp. 1-7.
[10] S. Wang, J. Guo , X. Wang, W. Yuan, and Z. Fei, “Pilot design and optimization for OTFS modulation,” IEEE Wireless Commun. Lett., vol. 10, no. 8, pp. 1742-1746, Aug. 2021.
[11] Z. Wei, W. Yuan, S. Li, J. Yuan, and D. W. K. Ng, “Off-grid channel estimation with sparse Bayesian learning for OTFS systems,” IEEE Trans. Wireless Commun., early access.
[12] F. Liu, Z. Yuan, Q. Guo, Z. Wang, and P. Sun, “Message passing-based structured sparse signal recovery for estimation of OTFS channels with fractional Doppler shifts,” IEEE Trans. Commun., vol. 20, no. 12, pp. 7773-7785, Dec. 2021.
[13] M. K. Ramachandran and A. Chockalingam, “MIMO-OTFS in high-doppler fading channels: Signal detection and channel estimation,” in Proc. IEEE Global Commun. Conf., Abu Dhabi, United Arab Emirates, Dec. 2018, pp. 206-212.
[14] O. K. Rasheed, G. D. Surabhi, and A. Chockalingam, “Sparse delay-Doppler channel estimation in rapidly time-varying channels for multiuser OTFS on the uplink,” in Proc. IEEE Veh. Technol. Conf., Antwerp, Belgium, May 2020, pp. 1-5.
[15] S. Srivastava, R. K. Singh, A. K. Jagannatham, and L. Hanzo, “Bayesian learning aided simultaneous row and group sparse channel estimation in orthogonal time frequency space modulated MIMO systems,” IEEE Trans. Commun., vol. 70, no. 1, pp. 635-648, Jan. 2022.
[16] S. Srivastava, R. K. Singh, A. K. Jagannatham, and L. Hanzo, “Bayesian learning aided sparse channel estimation for orthogonal time frequency space modulated systems,”IEEE Trans. Veh. Technol., vol. 70, no. 8, pp. 8343-8348, Aug. 2021.
[17] W. Shen, L. Dai, J. An, P. Fan, and R. W. Heath, “Channel estimation for orthogonal time frequency space (OTFS) massive MIMO,” IEEE Trans. Sig. Process., vol. 67, no. 16, pp. 4204-4217, Aug. 2019.
[18] M. Li, S. Zhang, F. Gao, P. Fan, and O. A. Dobre, “A new path division multiple access for the massive MIMO-OTFS networks,” IEEE J. Select. Areas Commun., vol. 39, no. 4, pp. 903-918, Apr. 2021.
[19] N. Hashimoto, N. Osawa, K. Yamazaki, and S. Ibi, “Channel estimation and equalization for CP-OFDM-based OTFS in fractional Doppler channels,” in Proc. IEEE Int. Conf. Commun., Montreal, QC, Canada, Jun. 2021, pp. 1-7.
[20] D. Shi et al., “Deterministic pilot design and channel estimation for downlink massive MIMO OTFS systems in presence of the fractional Doppler,” IEEE Trans. Wireless Commun., vol. 20, no. 11, pp. 7151-7165, Nov. 2021.
[21] J. G. Proakis and M. Salehi, Digital Communications, 5th ed. New York: McGraw-Hill, 2008.
[22] D. A. Shnidmen, “The calculation of the probability of detection and the generalized Marcum Q-function,” IEEE Trans Inform. Theory, vol. 35, pp. 389-400, Mar. 1989.
[23] H. L. Van Trees, Detection, Estimation, and Modulation Theory. John Wiley & Sons, 1968.
[24] F. J. Harris, “On the use of windows for harmonic analysis with the discrete Fourier transform,” Proc. IEEE, vol. 66, no. 1, pp. 51-83, Jan. 1978.
-
dc.identifier.urihttp://tdr.lib.ntu.edu.tw/jspui/handle/123456789/85171-
dc.description.abstract為了實現數據決策(data decision),延遲-都卜勒(delay-Doppler, DD)網格上的通道矩陣(delay-Doppler channel matrix, DD-CM)估測對於在延遲-都卜勒通道上運行的正交時頻空間調變(orthogonal time frequency space modulation, OTFS)系統至關重要。然而,準確的DD-CM估測是具有挑戰性的,因為DD-CM是由接收DD網格上的路徑響應(path responses)、延遲位移(delay shifts)和都卜勒位移(Doppler shifts)非線性組成的通道響應(channel responses)所構成。本文提出了一種序列性通道估計(sequential channel estimation, SCE)方法,通過分離傳輸的均勻間隔的領航符元塊,依序估測延遲位移、路徑響應和都卜勒位移,然後間接組成DD-CM估測。當通道在接收DD網格上表現出整數值的延遲位移和實數值的都卜勒位移時,SCE方法可以對個別通道參數(individual channel parameters, ICP)進行精細估測,從而精確估計DD-CM。由於精細的ICP估測,SCE方法提供了比現有的幾個通道估測(channel estimation)方法更精確的DD-CM估測,這些方法從分離的領航幀(separate pilot frames, SPF)或從混合數據/領航幀(hybrid data/pilot frames, HF)中提取通道訊息。為了應對延遲-都卜勒通道在延遲和都卜勒方面的廣泛色散,SCE方法比所有從HF或SPF中提取DD-CM的通道估測方法需要更少的領航負載(pilot overhead)。zh_TW
dc.description.abstractTo enable data decision, the estimation of the channel matrix on the delay-Doppler grid (DD-CM) is essential to the orthogonal time frequency space (OTFS) systems operating over delay-Doppler channels. Accurate DD-CM estimation is, however, challenging to attain in that DD-CM consists of channel responses composed nonlinearly from path responses, delay shifts and Doppler shifts on the receive DD grid. Aided by separately transmitted blocks of uniformly spaced pilot symbols, a sequential channel estimation (SCE) scheme is proposed in this report to estimate delay shifts, path responses and Doppler shifts sequentially and then compose the DD-CM estimate indirectly. The SCE scheme can provide fine estimation on individual channel parameters (ICP) and thereby estimate DD-CM accurately when the channel exhibits integer-valued delay shifts and real-valued Doppler shifts on the receive DD grid. Due to fine ICP estimation, the SCE scheme provides more accurate DDCM estimation than several existing channel estimation schemes which extract channel information from separate pilot blocks or from hybrid data/pilot frames. To combat with the delay-Doppler channels with wide dispersion ranges in delay and Doppler, the SCE scheme requires less pilot overhead than all channel estimation schemes which extract DD-CM from hybrid data/pilot frames or from separate pilot frames.en
dc.description.provenanceMade available in DSpace on 2023-03-19T22:48:02Z (GMT). No. of bitstreams: 1
U0001-0408202212203800.pdf: 2499811 bytes, checksum: c10fdbcbedfed71c7f56e6b709d13f01 (MD5)
Previous issue date: 2022
en
dc.description.tableofcontentsAbstract i
Contents ii
List of Figures v
List of Tables viii
1 Introduction 1
1.1 Review of OTFS System 1
1.1.1 Block-Guarded OTFS 2
1.1.2 Frame-Guarded OTFS 2
1.1.3 Pulses Shaping 2
1.2 Review of Pilot-Aided Channel Estimation 3
1.2.1 Methodology 3
1.2.2 Pilot Placement 3
1.3 Motivation and Contribution of This Thesis 6
2 SPB-Prefixed OTFS 9
2.1 Transmitted Signal Model 9
2.2 Received Signal Model 12
2.3 Pilot Block Preprocessing 13
2.4 Data Frame Preprocessing 14
2.4.1 System I 15
2.4.2 System R 16
3 Sequential Channel Estimation 17
3.1 Some Observations 18
3.1.1 Detecting {L,lambda_L}18
3.1.2 Estimating h_L 20
3.1.3 Estimating beta_L 21
3.1.4 Refining beta_L(h_L) 24
3.2 The SCE Scheme 25
4 Channel Estimation Performance 27
4.1 Random delay-Doppler Channel 27
4.2 Performance Characteristics of SCE Scheme 29
4.2.1 Decision Error Probability 29
4.2.2 Ideal and actual MSEs of hL 30
4.2.3 Ideal MSE of beta_L 31
4.2.4 Actual MSE of beta_L 33
4.3 Performance Comparison Among Various DD-CM Estimation Schemes 36
4.3.1 Review of HF-based Structure 36
4.3.2 Review of HF-SPTB Scheme 38
4.3.3 Review of HF-OMP Scheme 38
4.3.4 Review of HF-NOMP Scheme 40
4.3.5 Review of SPB-NOMP Scheme 41
4.3.6 Review of SPB-SBL Scheme 42
4.3.7 Performance Comparison 45
4.3.8 NMSE of DD-CM for System I 46
4.3.9 NMSE of DD-CM for System R 51
4.4 Actual MSE of ICP 53
4.5 Overhead Ratio 55
4.6 Computation Complexity 56
5 Conclusion 61
Bibliography 63
6 Appendix 67
6.1 Appendix A. Derivation of (3.6) and (3.7) 67
6.2 Appendix B. Derivation of (3.11) 68
-
dc.language.isoen-
dc.subject領航zh_TW
dc.subject延遲-都卜勒通道zh_TW
dc.subject通道估測zh_TW
dc.subject領航zh_TW
dc.subject正交時頻空間調變zh_TW
dc.subject延遲-都卜勒通道zh_TW
dc.subject通道估測zh_TW
dc.subject正交時頻空間調變zh_TW
dc.subjectOrthogonal time frequency space modulationen
dc.subjectchannel estimationen
dc.subjectdelay-Doppler channelen
dc.subjectdelay-Doppler channelen
dc.subjectchannel estimationen
dc.subjectpiloten
dc.subjectOrthogonal time frequency space modulationen
dc.subjectpiloten
dc.titleOTFS系統中基於分離領航塊的序列性通道估測zh_TW
dc.titleSequential Channel Estimation With Separate Pilot Block for OTFS Systemsen
dc.typeThesis-
dc.date.schoolyear110-2-
dc.description.degree碩士-
dc.contributor.oralexamcommittee李穎;王晉良;古孟霖zh_TW
dc.contributor.oralexamcommitteeYing Li;Chin-Liang Wang;Meng-Lin Kuen
dc.subject.keyword正交時頻空間調變,領航,通道估測,延遲-都卜勒通道,zh_TW
dc.subject.keywordOrthogonal time frequency space modulation,pilot,channel estimation,delay-Doppler channel,en
dc.relation.page69-
dc.identifier.doi10.6342/NTU202202049-
dc.rights.note同意授權(限校園內公開)-
dc.date.accepted2022-08-08-
dc.contributor.author-college電機資訊學院-
dc.contributor.author-dept電信工程學研究所-
dc.date.embargo-lift2024-08-08-
顯示於系所單位:電信工程學研究所

文件中的檔案:
檔案 大小格式 
ntu-110-2.pdf
授權僅限NTU校內IP使用(校園外請利用VPN校外連線服務)
2.44 MBAdobe PDF
顯示文件簡單紀錄


系統中的文件,除了特別指名其著作權條款之外,均受到著作權保護,並且保留所有的權利。

社群連結
聯絡資訊
10617臺北市大安區羅斯福路四段1號
No.1 Sec.4, Roosevelt Rd., Taipei, Taiwan, R.O.C. 106
Tel: (02)33662353
Email: ntuetds@ntu.edu.tw
意見箱
相關連結
館藏目錄
國內圖書館整合查詢 MetaCat
臺大學術典藏 NTU Scholars
臺大圖書館數位典藏館
本站聲明
© NTU Library All Rights Reserved