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請用此 Handle URI 來引用此文件: http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/83782
完整後設資料紀錄
DC 欄位值語言
dc.contributor.advisor蘇炫榮(Hsuan-Jung Su)
dc.contributor.authorTing-Chia Hsuen
dc.contributor.author徐莛家zh_TW
dc.date.accessioned2023-03-19T21:17:52Z-
dc.date.copyright2022-08-05
dc.date.issued2022
dc.date.submitted2022-08-03
dc.identifier.citation[1]H. He, C.-K. Wen, S. Jin, and G. Y. Li, “Deep learning-based chan-nel estimation for beamspace mmwave massive mimo systems,” IEEE Wireless Communications Letters, vol. 7, no. 5, pp. 852–855, 2018. [2]P. Liu, Y. Li, W. Cheng, X. Gao, and X. Huang, “Intelligent reflecting surface aided noma for millimeter-wave massive mimo with lens antenna array,” IEEE Transactions on Vehicular Technology, vol. 70, no. 5, pp. 4419–4434, 2021. [3]H.-J. Moon, H.-B. Jeon, and C.-B. Chae, “Rf lens antenna array-based one-shot coarse pointing for hybrid rf/fso communications,” IEEE Wire-less Communications Letters, vol. 11, no. 2, pp. 240–244, 2022. [4]Z.-M. Jiang, P. Zhang, L. Huang, J. Zhang, X. He, and M. Rihan, “Lens antenna arrays aided co-existing radar and communication systems with energy harvesting,” IEEE Access, vol. 8, pp. 56 160–56 169, 2020. [5]Y. Gui, H. Lu, F. Wu, and C. W. Chen, “Lenscast: Robust wireless video transmission over mmwave mimo with lens antenna array,” IEEE Transactions on Multimedia, vol. 24, pp. 33–48, 2022. [6]K. Wu, W. Ni, J. A. Zhang, R. P. Liu, and J. Guo, “Secrecy rate analysis for millimeter-wave lens antenna array transmission,” IEEE Communi-cations Letters, vol. 24, no. 2, pp. 272–276, 2020. [7]Y. Zeng, R. Zhang, and Z. N. Chen, “Electromagnetic lens-focusing antenna enabled massive mimo: Performance improvement and cost re-duction,” IEEE Journal on Selected Areas in Communications, vol. 32, no. 6, pp. 1194–1206, 2014. [8]X. Gao, L. Dai, S. Han, C.-L. I, and X. Wang, “Reliable beamspace chan-nel estimation for millimeter-wave massive mimo systems with lens an-tenna array,” IEEE Transactions on Wireless Communications, vol. 16, no. 9, pp. 6010–6021, 2017. [9]Y. Zeng, L. Yang, and R. Zhang, “Multi-user millimeter wave mimo with full-dimensional lens antenna array,” IEEE Transactions on Wireless Communications, vol. 17, no. 4, pp. 2800–2814, 2018. [10]W. Huang, Y. Huang, Y. Zeng, and L. Yang, “Wideband millimeter wave communication with lens antenna array: Joint beamforming and antenna selection with group sparse optimization,” IEEE Transactions on Wireless Communications, vol. 17, no. 10, pp. 6575–6589, 2018. [11]Y. Zeng and R. Zhang, “Millimeter wave mimo with lens antenna array: A new path division multiplexing paradigm,” IEEE Transactions on Communications, vol. 64, no. 4, pp. 1557–1571, 2016. [12]C.-K. C. Tzuang, L. Tzuang, H.-S. Wu, and P. Wu, “5g retro-directive quasi-optical lens beamforming mimo,” in 2019 IEEE Asia-Pacific Mi-crowave Conference (APMC), 2019, pp. 911–913. [13]Y. Zeng and R. Zhang, “Cost-effective millimeter-wave communications with lens antenna array,” IEEE Wireless Communications, vol. 24, no. 4, pp. 81–87, 2017. [14]T. Kwon, Y.-G. Lim, B.-W. Min, and C.-B. Chae, “Rf lens-embedded massive mimo systems: Fabrication issues and codebook design,” IEEE Transactions on Microwave Theory and Techniques, vol. 64, no. 7, pp. 2256–2271, 2016. [15]S.-H. Park, D. Jun, B. Kim, D. K. Kim, and C.-B. Chae, “Demo: mmwave lens mimo,” in 2020 IEEE Wireless Communications and Net-working Conference Workshops (WCNCW), 2020, pp. 1–2. [16]P. Pal and P. P. Vaidyanathan, “Nested arrays: A novel approach to array processing with enhanced degrees of freedom,” IEEE Transactions on Signal Processing, vol. 58, no. 8, pp. 4167–4181, 2010. [17]C. Liang, A. Liu, and Q. Yang, “DoA estimation using an extended spa-tial smoothing with coprime mimo radar,” in IET International Radar Conference (IET IRC 2020), vol. 2020, 2020, pp. 1227–1233. [18]M. M. Safari and J. Pourrostam, “Beamspace channel estimation for millimeter-wave massive mimo with lens antenna array using quasi-orthogonal pilots,” in 2020 28th Iranian Conference on Electrical Engi-neering (ICEE), 2020, pp. 1–5. [19]Z. Wan, Z. Gao, B. Shim, K. Yang, G. Mao, and M.-S. Alouini, “Compressive sensing based channel estimation for millimeter-wave full-dimensional mimo with lens-array,” IEEE Transactions on Vehicular Technology, vol. 69, no. 2, pp. 2337–2342, 2020. [20]S. A. Shaikh and A. M. Tonello, “Radio source localization in multipath channels using em lens assisted massive antennas arrays,” IEEE Access, vol. 7, pp. 9001–9012, 2019. [21]Z. Ni, Y. Luo, M. Motani, and C. Li, “Doa estimation for lens antenna array via root-music, outlier detection, and clustering,” IEEE Access, vol. 8, pp. 199 187–199 196, 2020. [22]W.-K. Ma, T.-H. Hsieh, and C.-Y. Chi, “DoA estimation of quasi-stationary signals with less sensors than sources and unknown spatial noise covariance: A khatri–rao subspace approach,” IEEE Transactions on Signal Processing, vol. 58, no. 4, pp. 2168–2180, 2010. [23]Q. Chen and R. Liu, “On the explanation of spatial smoothing in music algorithm for coherent sources,” in International Conference on Infor-mation Science and Technology, 2011, pp. 699–702. [24]T.-J. Shan, M. Wax, and T. Kailath, “On spatial smoothing for direction-of-arrival estimation of coherent signals,” IEEE Transactions on Acoustics, Speech, and Signal Processing, vol. 33, no. 4, pp. 806–811, 1985. [25]C.-L. Liu and P. P. Vaidyanathan, “Remarks on the spatial smoothing step in coarray music,” IEEE Signal Processing Letters, vol. 22, no. 9, pp. 1438–1442, 2015. [26]S. Pillai and B. Kwon, “Forward/backward spatial smoothing techniques for coherent signal identification,” IEEE Transactions on Acoustics, Speech, and Signal Processing, vol. 37, no. 1, pp. 8–15, 1989. [27]J. Pan, M. Sun, Y. Wang, and X. Zhang, “An enhanced spatial smooth-ing technique with esprit algorithm for direction of arrival estimation in coherent scenarios,” IEEE Transactions on Signal Processing, vol. 68, pp. 3635–3643, 2020. [28]A. P. Singh and N. Tiwari, “An improved method to localize simultaneously close and coherent sources based on symmetric-toeplitz covariance matrix,” Applied Acoustics,vol. 182, p. 108176, 2021. [Online]. Available: https://www.sciencedirect.com/science/article/pii/S0003682X2100270X [29]J. Gamba and Springer Nature., Radar signal processing for autonomous driving. Cham, Switzerland: Springer Nature, 2020. [30]N. P. Waweru, D. B. O. Konditi, and P. K. Langat, “Performance anal-ysis of music, root-music and esprit doa estimation algorithm,” Inter-national Journal of Electronics and Communication Engineering, vol. 8, no. 1, pp. 209–216, 2014. [31]M. Ahmad, X. Zhang, and B. Iqbal, “Performance comparison of con-ventional beam-former, capon, music, and root-music doa estimation algorithms,” 10 2016. [32]C. Zhou and J. Zhou, “Direction-of-arrival estimation with coarray ES-PRIT for coprime array,” Sensors (Basel), vol. 17, no. 8, Aug. 2017. [33]B. Wang, W. Wang, Y. Gu, and S. Lei, “Underdetermined DOA estima-tion of quasi-stationary signals using a partly-calibrated array,” Sensors (Basel), vol. 17, no. 4, Mar. 2017. [34]G. Y. Suk, Y.-G. Lim, H. B. Yilmaz, J.-N. Shim, D. K. Kim, and C.-B. Chae, “Low complexity doa estimation in millimeter wave mimo with rf lens,” in 2018 IEEE Wireless Communications and Networking Confer-ence (WCNC), 2018, pp. 1–6. [35]B.-s. Kim, Y. Jin, J. Lee, and S. Kim, “Low-complexity music-based direction-of-arrival detection algorithm for frequency-modulated continuous-wave vital radar,” Sensors, vol. 20, no. 15, 2020. [Online]. Available: https://www.mdpi.com/1424-8220/20/15/4295 [36]M. Eskandari, S. M. Karbasi, and M. H. Bastani, “A novel solution for root-music with reduced complexity,” in 2019 Sixth Iranian Conference on Radar and Surveillance Systems, 2019, pp. 1–5. [37]J. Yang, Y. Zeng, S. Jin, C.-K. Wen, and P. Xu, “Communication and localization with extremely large lens antenna array,” IEEE Transac-tions on Wireless Communications, vol. 20, no. 5, pp. 3031–3048, 2021. [38]W. Wang, H. Yin, X. Chen, and W. Wang, “Low-cost group-selected structure in multi-user millimeter wave systems with lens antenna array,” IEEE Communications Letters, vol. 24, no. 4, pp. 895–898, 2020.
dc.identifier.urihttp://tdr.lib.ntu.edu.tw/jspui/handle/123456789/83782-
dc.description.abstract毫米波大規模多輸入多輸出系統已經成為未來無線通訊系統中實現多用戶高速率通訊的重要技術,然而大量的射頻電路造成過高的硬體和功率成本。為了克服訊號能量的衰減與降低成本考量,透鏡天線陣列藉由其能量聚焦和路徑分割特性,將其應用在毫米波多輸入多輸出系統中逐漸具有吸引力。 透鏡天線陣列主要由一個電磁透鏡和相對應的天線陣列組成,對應的天線陣列擺放在電磁透鏡焦距弧上。在準穩態訊號模型下,本篇論文考慮在毫米波多輸入多輸出系統中運用透鏡天線陣列,並提出一個新的演算法用於估測比天線數量還多的來源訊號到達角度,也就是欠定的估測。提出的方法利用傅立葉轉換來分析訊號的相位,透過相位差來提高估測訊號來向角度的自由度。模擬結果展現所提出的演算法可以透過較少的資料取樣點來提高自由度,並探討多重訊號分類方式、根多重訊號分類方式與透過旋轉不變估測訊號參數方式之間的均方根誤差效能表現。zh_TW
dc.description.abstractMillimeter wave (mmWave) massive multiple-input multiple-output (MIMO) systems have emerged as an essential technology for future wireless systems to achieve multi-user high-rate communication. However, ultra-high frequencies and a large number of radio-frequency (RF) chains cause prohibitive hardware and power consumption costs. To overcome the attenuated signal energy and reduce the cost, lens antenna array (LAA) has recently become attractive for mmWave MIMO systems due to its energy-focusing and path-division properties. Lens antenna array is mainly composed of an electromagnetic (EM) lens and the corresponding antenna array with elements located in the focal arc of the EM lens. This thesis considers the mmWave MIMO systems utilizing lens antenna array and presents a novel algorithm for direction of arrival (DoA) estimation of more sources than antennas, an underdetermined case. The proposed approach exploits the Fourier transform (FT) of signal to analyze the signal phase. The estimation degree of freedom (DoF) can increase by taking advantage of the phase difference. Simulation results show that the proposed algorithm can raise estimation DoF by fewer data samples and discuss root mean square error (RMSE) performance and detection error probability (DEP) performance.en
dc.description.provenanceMade available in DSpace on 2023-03-19T21:17:52Z (GMT). No. of bitstreams: 1
U0001-0208202218184400.pdf: 1991600 bytes, checksum: e96bf6d668a06fd416468870054ebf89 (MD5)
Previous issue date: 2022
en
dc.description.tableofcontents1. Introduction 1 1.1 Background . . . 1 1.2 Contributions . . . 3 1.3 Overview of the Thesis . . . 4 1.4 Notations . . . 5 2 System Model 6 2.1 Lens Antenna Array . . . 7 3 Proposed Algorithm 11 3.1 Enhance DoF Approach . . . 11 3.2 Local Covariance and Local Vectorization . . . 18 3.3 Blind Subspace-based DoA Estimation . . . 20 4 Complexity Analysis 25 5 Simulation Results 28 5.1 MUSIC Spectra with KR-Algorithm . . . 30 5.2 RMSE and DEP versus SNR between KR-Algorithm and ULA with MUSIC . . . 32 5.3 RMSE and DEP versus SNR between KR-Algorithm and SS MUSIC . . . 34 5.4 RMSE versus Number of Frames and Frame Length with KRAlgorithm . . . 36 5.5 Resolution Performance with KR-Algorithm . . . 38 5.6 RMSE versus Number of Antennas with KR-Algorithm . . . 39 5.7 Computation Time of Two Sampling Methods with KR-Algorithm 40 6 Conclusions 42 7 Future Work 43 Bibliography 45
dc.language.isoen
dc.subject欠定來向角度估測zh_TW
dc.subject透鏡天線陣列zh_TW
dc.subjectLens antenna arrayen
dc.subjectUnderdetermined direction of arrival estimationen
dc.title透鏡天線陣列下的欠定到達角度估計zh_TW
dc.titleUnderdetermined Direction of Arrival Estimation with Lens Antenna Arrayen
dc.typeThesis
dc.date.schoolyear110-2
dc.description.degree碩士
dc.contributor.oralexamcommittee劉俊麟(Chun-Lin Liu),馮世邁(See-May Phoong),黃彥銘(Yen-Ming Huang)
dc.subject.keyword欠定來向角度估測,透鏡天線陣列,zh_TW
dc.subject.keywordUnderdetermined direction of arrival estimation,Lens antenna array,en
dc.relation.page51
dc.identifier.doi10.6342/NTU202201985
dc.rights.note未授權
dc.date.accepted2022-08-03
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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