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http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/96078完整後設資料紀錄
| DC 欄位 | 值 | 語言 |
|---|---|---|
| dc.contributor.advisor | 林茂昭 | zh_TW |
| dc.contributor.advisor | Mao-Chao Lin | en |
| dc.contributor.author | 陳琬甯 | zh_TW |
| dc.contributor.author | Wan-Ning Chen | en |
| dc.date.accessioned | 2024-10-14T16:05:17Z | - |
| dc.date.available | 2024-10-15 | - |
| dc.date.copyright | 2024-10-14 | - |
| dc.date.issued | 2024 | - |
| dc.date.submitted | 2024-10-02 | - |
| dc.identifier.citation | E. Arikan, “Channel polarization: A method for constructing capacity-achieving codes for symmetric binary-input memoryless channels,” IEEE Transactions on information Theory, vol. 55, no. 7, pp. 3051–3073, 2009.
K. Niu and K. Chen, “Crc-aided decoding of polar codes,” IEEE communications letters, vol. 16, no. 10, pp. 1668–1671, 2012. P. Yuan, M. C. Coşkun, and G. Kramer, “Polar-coded non-coherent communication,” IEEE communications letters, vol. 25, no. 6, pp. 1786–1790, 2021. Y.-T. Hsu, B.-H. Chang, C.-F. Chang, P.-W. Su, I.-H. Yeh, K.-C. Cheng, Y.-C. Lin, and M.-C. Lin, “Gain division multiple access for transmissions over independent fading channels,” in 2019 IEEE VTS Asia Pacific Wireless Communications Symposium (APWCS), pp. 1–5, IEEE, 2019. I. Tal and A. Vardy, “List decoding of polar codes,” IEEE transactions on information theory, vol. 61, no. 5, pp. 2213–2226, 2015. A. S. Tan, O. Sahin, and S. Hong, “Crc aided short-cycle free bp decoding for polar codes,” in 2021 International Symposium on Networks, Computers and Communications (ISNCC), pp. 1–6, IEEE, 2021. R.-Y. Wei, “Noncoherent block-coded mpsk,” IEEE transactions on communications,vol. 53, no. 6, pp. 978–986, 2005. Y.-O. Yang, “Gain-division multiple access and random access,” Master’s thesis,2020. H. Cui, K. Niu, M. Ren, and J. Huo, “Polar coded power domain non-orthogonal multiple access system: Construction and optimization,” IEEE Communications Letters,2024. | - |
| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/96078 | - |
| dc.description.abstract | 極化碼是一種由 E. Arikan 於 2009 年提出的新型錯誤更正碼。它利用通道極化的現象，透過精心設計的編碼和解碼方式，使某些通道的容量接近 1，而其他通道的容量則趨於 0。極化碼已被證明可以在任何二元離散無記憶通道中達到香農極限。
本文首先回顧了極化碼的基礎知識，包括通道合併和編碼方式。隨後，我們對極化碼的性能進行了分析和比較，包括 SC 解碼、SCL 解碼和 CA-SCL 解碼。 針對通道狀態資訊 (CSI) 未知的衰落通道，本文研究了極化編碼系統的通道估計問題。我們採用了導頻輔助塊傳輸系統 (PAT) 和分群演算法進行盲通道估計。此外，我們還利用微分編碼 (DE) 和非同調塊編碼 (NBC) 來解決在二進制相位偏移調制 (BPSK) 和四進制相位偏移調制 (QPSK) 場景下出現的相位模糊問題。最後，我們將通道狀態資訊 (CSI) 未知的衰落通道場景擴展到了 GDMA 系統和 OFDM 系統，對不同的通道估計方法進行了比較，分析了它們的優劣。 | zh_TW |
| dc.description.abstract | Polar codes, introduced by E. Arikan in 2009, form a novel type of error correction code. They leverage the phenomenon of channel polarization, employing carefully designed coding and decoding schemes to achieve near-capacity performance for some channels while driving the capacity of others to zero. Polar codes have been proven to achieve the Shannon limit for any binary discrete memoryless channel.
This paper begins by reviewing the fundamental concepts, including channel combining and encoding techniques. Subsequently, we analyze and compare the performance of different decoding algorithms for polar codes: SC decoding, SCL decoding, and CA-SCL decoding. Focusing on fading channels with unknown channel state information (CSI), this paper investigates the channel estimation problem in polar-coded systems. We employ pilot-assisted block transmission (PAT) and clustering algorithms for blind channel estimation. Additionally, we utilize differential encoding (DE) and noncoherent block coding (NBC) to address phase ambiguity issues encountered in binary phase-shift keying (BPSK) and quadrature phase-shift keying (QPSK) scenarios. Finally, we extend the scenario of fading channels with unknown CSI to GDMA systems and OFDM systems, comparing different channel estimation methods and analyzing their performance advantages and disadvantages. | en |
| dc.description.provenance | Submitted by admin ntu (admin@lib.ntu.edu.tw) on 2024-10-14T16:05:17Z No. of bitstreams: 0 | en |
| dc.description.provenance | Made available in DSpace on 2024-10-14T16:05:17Z (GMT). No. of bitstreams: 0 | en |
| dc.description.tableofcontents | Acknowledgements i
摘要iii Abstract v Contents vii List of Figures xi List of Tables xvii Chapter 1 Introduction 1 Chapter 2 Review of Polar Coding 5 2.1 Polar Code Construction 5 2.1.1 Heuristic (Bhattacharyya) Construction 9 2.1.2 GA Construction For BI-AWGN 10 2.2 Polar Encoder 11 2.3 Polar Decoder 12 2.3.1 SC Decoder 12 2.3.2 SC List Decoding 14 2.3.3 CRC Aided SCL Decoding 14 2.4 Simulation Result 16 Chapter 3 Polar Code-Based Block Rayleigh Fading Channel Estimation 19 3.1 Pilot-Assisted Transmission (PAT) 20 3.2 k-means++ clustering 24 3.3 Resolving Phase Ambiguity 29 3.3.1 Differential Encoding 30 3.3.2 Non-coherent Block Coding 32 3.3.3 PAT-Assisted K-means++ Clustering for Channel Estimation 36 3.3.4 Combining Non-coherent Block Coding (NBC) and PAT-Assisted K-means++ Clustering for Blind Channel Estimation 39 3.4 K-means++ Clustering with Symbol Rotation for Channel Estimation 41 Chapter 4 Gain-Division Multiple Access (GDMA) based Channel Estimation 45 4.1 System Model 45 4.2 Pilot-Assisted Gain-Division Multiple Access 51 4.3 K-means++ Clustering in GDMA Systems 55 4.3.1 Equation-Based K-means Clustering for Channel Estimation 55 4.3.1.1 GDMA , U = 2 , BPSK 55 4.3.1.2 GDMA , U = 2 , QPSK 57 4.3.1.3 GDMA , U = 3 , BPSK 60 4.3.1.4 GDMA , U = 3 , QPSK 63 4.3.2 successive interference cancellation (SIC) method 66 4.3.3 K-Means Clustering with Equation Solving and SIC Decoding 68 4.4 GDMA Channel Estimation using Noncoherent Block Coding and Kmeans++ Clustering 73 4.5 GDMA Channel Estimation using Noncoherent Block Coding, PAT and K-means++ Clustering 75 Chapter 5 Orthogonal Frequency-Division Multiplexing (OFDM)-Based Channel Estimation 81 5.1 Introduction to OFDM Modulation 81 5.2 OFDM Pilot-based channel estimation 85 5.2.1 OFDM System Model with Pilot-Assisted Channel Estimation 86 5.2.2 Least Squares (LS) Algorithm 88 5.3 OFDM Blind channel estimation 90 5.4 PAT-Assisted K-means++ Clustering for OFDM Channel Estimation 91 Chapter 6 Conclusion and Future Works 95 References 97 | - |
| dc.language.iso | en | - |
| dc.title | 針對某些使用極化碼的通訊系統的通道估測 | zh_TW |
| dc.title | Channel Estimation for Some Polar-Coded Communication Systems | en |
| dc.type | Thesis | - |
| dc.date.schoolyear | 113-1 | - |
| dc.description.degree | 碩士 | - |
| dc.contributor.coadvisor | 李世凱 | zh_TW |
| dc.contributor.coadvisor | Shih-Kai Lee | en |
| dc.contributor.oralexamcommittee | 趙啟超;李穎;李晃昌 | zh_TW |
| dc.contributor.oralexamcommittee | Chi-chao Chao;Ying Li;Huang-Chang Lee | en |
| dc.subject.keyword | 極化碼,衰落通道,通道估計,通道盲測技術,非相干通訊,導頻輔助傳輸,正交分頻多工, | zh_TW |
| dc.subject.keyword | Polar code,fading channel,channel estimation,blind channel estimation technique,non-coherent communication,Pilot-assisted transmission,OFDM systems, | en |
| dc.relation.page | 98 | - |
| dc.identifier.doi | 10.6342/NTU202404440 | - |
| dc.rights.note | 同意授權(限校園內公開) | - |
| dc.date.accepted | 2024-10-03 | - |
| dc.contributor.author-college | 電機資訊學院 | - |
| dc.contributor.author-dept | 電信工程學研究所 | - |
| 顯示於系所單位： | 電信工程學研究所 | |
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