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http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/81185完整後設資料紀錄
| DC 欄位 | 值 | 語言 |
|---|---|---|
| dc.contributor.advisor | 蘇柏青(Borching Su) | |
| dc.contributor.author | Wun-Jyun Liao | en |
| dc.contributor.author | 廖文鈞 | zh_TW |
| dc.date.accessioned | 2022-11-24T03:34:58Z | - |
| dc.date.available | 2021-08-10 | |
| dc.date.available | 2022-11-24T03:34:58Z | - |
| dc.date.copyright | 2021-08-10 | |
| dc.date.issued | 2021 | |
| dc.date.submitted | 2021-08-03 | |
| dc.identifier.citation | [1]P. Raviteja, Y. Hong, E. Viterbo and E. Biglieri, “Practical PulseShaping Waveforms for ReducedCyclicPrefix OTFS,” inIEEE Transactions on Vehicular Technology, vol. 68, no. 1, pp. 957961, Jan. 2019. [2]R. Hadani et al., “Orthogonal Time Frequency Space Modulation,”2017 IEEEWireless Communications and Networking Conference (WCNC), San Francisco,CA, 2017, pp. 16. [3]P. Raviteja, K. T. Phan and Y. Hong, “Embedded PilotAided Channel Estimationfor OTFS in Delay–Doppler Channels,” inIEEE Transactions on Vehicular Technology, vol. 68, no. 5, pp. 49064917, May 2019. [4]P. Raviteja, K. T. Phan, Y. Hong and E. Viterbo, “Embedded DelayDoppler Channel Estimation for Orthogonal Time Frequency Space Modulation,”2018 IEEE88th Vehicular Technology Conference (VTCFall), 2018, pp. 15. [5]W. Shen, L. Dai, J. An, P. Fan and R. W. Heath, “Channel Estimation for OrthogonalTime Frequency Space (OTFS) Massive MIMO,” inIEEE Transactions on SignalProcessing, vol. 67, no. 16, pp. 42044217, Aug. 2019. [6]L. Zhao, W. J. Gao and W. Guo, “Sparse Bayesian Learning of DelayDopplerChannel for OTFS System,” inIEEE Communications Letters, vol. 24, no. 12, pp.27662769, Dec. 2020. [7]K. R. Murali and A. Chockalingam, “On OTFS Modulation for HighDoppler Fading Channels”2018 Information Theory and Applications Workshop (ITA), SanDiego, CA, 2018. [8]P. Raviteja, K. T. Phan, Y. Hong and E. Viterbo, “Interference Cancellation andIterative Detection for Orthogonal Time Frequency Space Modulation,” inIEEETransactions on Wireless Communications, vol. 17, no. 10, pp. 65016515, Oct.2018. [9]P. Raviteja, K. T. Phan, Q. Jin, Y. Hong and E. Viterbo, “Lowcomplexity iterativedetection for orthogonal time frequency space modulation,”2018 IEEE WirelessCommunications and Networking Conference (WCNC), Barcelona, Spain, 2018,pp. 16. [10]S. Tiwari, S. S. Das and V. Rangamgari, ”Low complexity LMMSE Receiver forOTFS,” in IEEE Communications Letters, vol. 23, no. 12, pp. 22052209, Dec.2019. [11]G. D. Surabhi and A. Chockalingam, ”LowComplexity Linear Equalization forOTFS Modulation,” in IEEE Communications Letters, vol. 24, no. 2, pp. 330334,Feb. 2020. [12]R. Hadani et al., “Orthogonal Time Frequency Space (OTFS) modulation formillimeterwave communications systems,”2017 IEEE MTTS International Microwave Symposium (IMS), 2017, pp. 681683. [13]Xiaodong Xu, Ya Jing and Xiaohu Yu, “Subspacebased noise variance and SNRestimation for OFDM systems [mobile radio applications],”IEEE Wireless Communications and Networking Conference, 2005, New Orleans, LA, USA, 2005, pp.2326 Vol. 1. [14]A. Klinger, “The Vandermonde matrix” in American Mathematical Monthly,Abingdon, U.K.:Taylor Francis, 1967. | |
| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/81185 | - |
| dc.description.abstract | 正交分頻多工(OFDM)在時域—頻域(time-frquency domain)之中傳輸訊號，因此對於高都普勒頻率偏移十分敏感。而正交時頻空間調變(OTFS)則是在延遲域—都普勒域(delay-Doppler domain)之中傳輸訊號，可以把原本的衰減時變通道轉變為不受時間影響、且有固定複數通道增益的通道。因此正交時頻空間調變對於高都普勒頻率偏移的相容性更高，更適用於高速通訊的情境。Raviteja等人針對OTFS提出了以保護領航訊號(guard pilot)為基礎的通道估測方法，他們將雜訊變異量視為已知，並且以此來計算閾值。但事實上接收端並不會知道雜訊變異量，而是需要另行估計。因此，我們使用了最小描述長度(minimum description length)來估計雜訊變異量，以便通道估測的進行。模擬結果顯示透過此種方法，即使在不知道任何通道狀態資訊的情況下，我們也能夠準確地進行雜訊變異量的估計。 | zh_TW |
| dc.description.provenance | Made available in DSpace on 2022-11-24T03:34:58Z (GMT). No. of bitstreams: 1 U0001-0308202112525100.pdf: 1032609 bytes, checksum: 2f7f84eea1f09f50528f70a9ffd10a39 (MD5) Previous issue date: 2021 | en |
| dc.description.tableofcontents | 誌謝 ii 摘要 iii Abstract iv 1 Introduction 1 2 System Model 3 2.1 Transmitter . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4 2.2 Linear Time-Varying Channel . . . . . . . . . . . . . . . . . . . . . . . . . 4 2.3 Receiver . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5 2.4 Input-Output Relation . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6 2.5 Equalizer . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8 3 Proposed Method 10 3.1 Guard Pilot-Based Channel Estimation . . . . . . . . . . . . . . . . . . . . 11 3.2 Problem Formulation . . . . . . . . . . . . . . . . . . . . . . . . . . . . 14 3.3 Minimum Description Length . . . . . . . . . . . . . . . . . . . . . . . . . 17 3.3.1 Proof of Full Column Rank . . . . . . . . . . . . . . . . . . . . . . . . 18 3.3.2 Algorithm . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 21 4 Simulation Results 23 4.1 Noise Variance Estimation . . . . . . . . . . . . . . . . . . . . . . . . . 23 4.1.1 Simulation Parameters . . . . . . . . . . . . . . . . . . . . . . . . . . 23 4.1.2 Simulation Results . . . . . . . . . . . . . . . . . . . . . . . . . . . . 25 4.2 Effective Channel Matrix Estimation . . . . . . . . . . . . . . . . . . . . 35 4.2.1 Simulation Parameters . . . . . . . . . . . . . . . . . . . . . . . . . . 35 4.2.2 Simulation Results . . . . . . . . . . . . . . . . . . . . . . . . . . . . 36 5 Conclusions and Future Work 44 A Derivation of the Input-Output Relation 45 Bibliography 50 | |
| dc.language.iso | en | |
| dc.subject | 都普勒頻率偏移 | zh_TW |
| dc.subject | 正交時頻空間調變 | zh_TW |
| dc.subject | 估計雜訊變異量 | zh_TW |
| dc.subject | 通道估測 | zh_TW |
| dc.subject | 最小描述長度 | zh_TW |
| dc.subject | 高速情境 | zh_TW |
| dc.subject | Orthogonal Time Frequency Space modulation (OTFS) | en |
| dc.subject | channel estimation | en |
| dc.subject | noise variance estimation | en |
| dc.subject | Doppler shift | en |
| dc.subject | high-speed communication scenarios | en |
| dc.subject | minimum description length (MDL) | en |
| dc.title | 基於最小描述長度估計正交時頻空間調變系統的雜訊變異量 | zh_TW |
| dc.title | Noise Variance Estimation for Orthogonal Time Frequency Space Modulation Using Minimum Description Length | en |
| dc.date.schoolyear | 109-2 | |
| dc.description.degree | 碩士 | |
| dc.contributor.oralexamcommittee | 劉俊麟(Hsin-Tsai Liu),馮世邁 (Chih-Yang Tseng) | |
| dc.subject.keyword | 正交時頻空間調變,估計雜訊變異量,通道估測,最小描述長度,高速情境,都普勒頻率偏移, | zh_TW |
| dc.subject.keyword | Orthogonal Time Frequency Space modulation (OTFS),noise variance estimation,channel estimation,minimum description length (MDL),high-speed communication scenarios,Doppler shift, | en |
| dc.relation.page | 51 | |
| dc.identifier.doi | 10.6342/NTU202102035 | |
| dc.rights.note | 同意授權(限校園內公開) | |
| dc.date.accepted | 2021-08-04 | |
| dc.contributor.author-college | 電機資訊學院 | zh_TW |
| dc.contributor.author-dept | 電信工程學研究所 | zh_TW |
| 顯示於系所單位： | 電信工程學研究所 | |
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