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  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/123456789/67992
完整後設資料紀錄
DC 欄位值語言
dc.contributor.advisor蘇柏青(Borching Su)
dc.contributor.authorChi-Yu Chenen
dc.contributor.author陳啟祐zh_TW
dc.date.accessioned2021-06-17T02:02:41Z-
dc.date.available2017-07-20
dc.date.copyright2017-07-20
dc.date.issued2017
dc.date.submitted2017-07-18
dc.identifier.citation[1] R. W. Heath, N. González-Prelcic, S. Rangan, W. Roh, and A. M. Sayeed, “An overview of signal processing techniques for millimeter wave mimo systems,” IEEE J. Sel. Topics Signal Process., vol. 10, no. 3, pp. 436–453, 2016.
[2] S. Kutty and D. Sen , “Beamforming for millimeter wave communications: An inclusive survey,” IEEE Commun. Surveys Tut., vol. 18, no. 2, pp. 949–973, 2016.
[3] F. Khan and Z. Pi, “Millimeter wave mobile broadband (mmb): Unleashing the 3–300 ghz spectrum,” Proc. 34th IEEE Sarnoff Symp, 2011.
[4] M. R. Akdeniz et al, “Millimeter wave channel modeling and cellular capacity evaluation,” IEEE J. Sel. Areas Commun., vol. 32, no. 6, pp. 1164–1179, 2014.
[5] O. El Ayach, S. Rajagopal, S. Abu-Surra, Z. Pi, and R. W. Heath, Jr., “Spatially sparse precoding in millimeter wave mimo systems,” IEEE Trans. Wireless Commun., vol. 13, no. 3, pp. 1499–1513, 2014.
[6] A. Alkhateeb, O. El Ayach, G. Leus, and R. W. Heath, Jr., “Channel estimation and hybrid precoding for millimeter wave cellular systems,” IEEE J. Sel. Topics Signal Process., vol. 8, no. 5, pp. 831–846, 2014.
[7] R. Mendez-Rial, C. Rusu, N.González-Prelcic, A. Alkhateeb, and R. Health, “Hybrid mimo architectures for millimeter wave communications: Phase shifters or switches?,” IEEE Access., vol. PP, no. 99, pp. 1–1, 2016.
[8] J. Lee, G. Gye-Tae, and Y. H. Lee, “Exploiting spatial sparsity for estimating channels of hybrid mimo systems in millimeter wave communications,” Proc. IEEE Globecom., pp. 3326–3331, 2014.
[9] D. Tse and P. Viswanath, Fundamentals of Wiresless Communication. Cambridge University Press, 2005.
[10] S. Foucart and H. Rauhut , A Mathematical Introduction to Compressive Sensing. New York, NY, USA: Springer-Verlag, 2013.
[11] J. A. Tropp , “Greed is good: Algorithmic results for sparse approximation,” IEEE Trans. Inf. Theory, vol. 50, no. 10, pp. 2231–2242, 2004.
[12] D. L. Donoho and M. Elad, “Optimally sparse representation in general (nonorthogonal) dictionaries via minimization,” Proc. Nat. Acad. Sci., vol. 100, pp. 2197–2202, 2002.
[13] S. Jokar and V. Mehrmann , “Sparse solutions to underdetermined kronecker product systems,” Linear Algebra Appl., vol. 431, no. 12, pp. 2437–2447, 2009.
[14] Michael Elad , “Optimized projections for compressed sensing,” IEEE Trans.Signal Process., vol. 55, no. 12, pp. 5695–5702, 2007.
[15] L. Welch, “Lower bounds on the maximum cross correlation of sig- nals (corresp.),” IEEE Trans. Inf. Theory, vol. 20, no. 3, pp. 397–399, 1974.
dc.identifier.urihttp://tdr.lib.ntu.edu.tw/jspui/handle/123456789/67992-
dc.description.abstract近年來,混合式波束成型架構被提出來解決毫米波通訊的嚴重路徑耗損和硬體限制問題,在完美通道資訊被給定的假設下,我們可以設計混合式預編碼器和結合器,接著在毫米波通道中傳輸資料,然而,若我們無法得知通道資訊,我們要事先估測它,所以,一些通道估側的方法已被提出,其中之一是開迴路通道估測,它利用了毫米波通道的稀疏性質且使用壓縮感知的技術估測出這個稀疏的通道,我們的目標是藉由增加基頻預編碼器和結合器的設計,改良此開迴路通道估測的方法,更精確地來說,在增加了基頻的設計後,我們可以得到在壓縮感知技術中較低的感測矩陣相干性,來獲得更好的估測效能,我們應用一個來自於數學相關文獻的演算法到我們提出的工程問題上,我們的模擬結果顯示兩點,第一點是我們提出的設計相較於之前開迴路通道估測,能得到更低的感測矩陣之相干性,第二點是感測矩陣的低相干性對於通道估測的效能有正面的影響,所以,我們提出的設計有著比先前開迴路通道估測的方法更低的通道估測誤差。zh_TW
dc.description.abstractIn recent years, the hybrid beamforming architecture has been proposed to deal with the severe path loss and the hardware limitation of millimeter wave (mmWave) communication. Under the assumption that the perfect channel state information (CSI) is known, we can design hybrid precoder and combiner and then transmit data in the mmWave channel. However, if CSI is unknown, we need to estimate it in advance. Therefore, some channel estimation methods have been proposed. One of them is the open-loop channel estimation, which utilizes the sparsity of mmWave channel and estimates the sparse channel by the compressed sensing technique. Our objective is to improve the open-loop channel estimation method by adding the baseband design. To be more specific, after adding baseband design, we can get lower mutual coherence of the sensing matrix in the compressed sensing technique, in order to reduce the channel estimation error. We apply an algorithm from mathematical literature to our proposed engineering problem. Our simulation results indicate two points. One is that our proposed design could get lower mutual coherence of the sensing matrix than the previous open-loop channel estimation. The other is that the low mutual coherence property has a positive effect on the channel estimation performance, so our proposed design has lower channel estimation error than the previous open-loop channel estimation method.en
dc.description.provenanceMade available in DSpace on 2021-06-17T02:02:41Z (GMT). No. of bitstreams: 1
ntu-106-R04942103-1.pdf: 1054856 bytes, checksum: 2afbd2c69f6af1f774eefdb55dea7102 (MD5)
Previous issue date: 2017
en
dc.description.tableofcontents1 Introduction 1
1.1 Background 2
1.2 Related Works on Hybrid Beamforming Open-loop Channel Estimation 4
1.3 Contributions 5
1.4 Organization and Notations 5
2 System model 7
2.1 Hybrid Beamforming Architecture 8
2.2 Channel Model 9
3 Problem Statement 13
3.1 Previous Open-Loop Channel Estimation Design 14
3.2 Adding Baseband Design 17
4 Proposed Method 19
4.1 Mutual Coherence and Kronecker Product 20
4.2 Baseband Combiner Design 20
4.3 Baseband Precoder Design 22
5 Simulation Results 25
5.1 Simulation Parameters 26
5.2 Simulation of Mutual Coherence 26
5.3 Simulation of Normalize Mean Square Error 29
6 Conclusion 34
Bibliography 36
dc.language.isoen
dc.title在混合式波束成型下通道估測之基頻預編碼器和組合
器設計
zh_TW
dc.titleBaseband Precoder and Combiner Design for Channel
Estimation in Hybrid Beamforming
en
dc.typeThesis
dc.date.schoolyear105-2
dc.description.degree碩士
dc.contributor.oralexamcommittee蘇炫榮(Hsuan-Jung Su),馮世邁(See-May Phoong)
dc.subject.keyword毫米波,混合式波束成型,通道估測,壓縮感知,相干性,zh_TW
dc.subject.keywordmillimiter wave,hybrid beamforming,channel estimation,compressed sensing,mutual coherence,en
dc.relation.page37
dc.identifier.doi10.6342/NTU201701652
dc.rights.note有償授權
dc.date.accepted2017-07-18
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
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