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研究生:賴哲涵
研究生(外文):LAI,ZHE-HAN
論文名稱:毫米波多輸入多輸出系統使用ESPRIT演算法之波束追蹤
論文名稱(外文):Beam tracking with ESPRIT algorithm in mmWave MIMO systems
指導教授:黃婉甄黃婉甄引用關係
指導教授(外文):Wan-Jen Huang
學位類別:碩士
校院名稱:國立中山大學
系所名稱:通訊工程研究所
學門:工程學門
學類:電資工程學類
論文種類:學術論文
論文出版年:2020
畢業學年度:108
語文別:中文
論文頁數:40
中文關鍵詞:毫米波3D大型多輸入多輸出系統ESPRIT通道估測
外文關鍵詞:channel estimation3D massive MIMOESPRITmillimeter
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隨著無線通訊網路迅速的發展,大型多輸入多輸出系統(massive Multiple-Input Multiple-Output,massive MIMO)技術滿足了與日俱增的網路容量需求,在多陣列訊號處理中,入射角(Direction-of-Arrival,DoA)和出射角(Direction-of-Departure,DoD)的估測對於獲取訊號源傳輸方向的資訊是相當重要的,這裡DoA為基地台的天線陣列所接收訊號的角度,為二維的天線陣列,DoD為用戶端傳送訊號的角度,為一維的天線陣列。這個架構可以讓我們使用3-D波束形成的架構來傳輸訊號。在本篇論文中,我們會使用ESPRIT(estimation of signal parameters via rotational invariance techniques)演算法來估測在massive MIMO系統中的入射角和出射角。在現代行動裝置網路資訊的傳輸技術中,在基地台的設計會有空間上的限制,所以如果要在有限空間擺放大量天線,可以把天線陣列擺放成二維平面,所以整體的傳輸架構又可稱為3D傳輸架構。3D毫米波的massive MIMO系統已經被用在5G通訊系統的架構了,在3D毫米波的massive MIMO系統中,因為使用大量的天線以及毫米波的指向特性,在基地台的二維天線陣列會收到從許多從特定角度傳來的訊號,所以偵測這些角度對這種系統而言是相當重要的。在本篇論文中,我們會在用戶端和基地台交互輪流使用ESPRIT的方法分別解出入射角和出射角,從模擬結果可以看出ESPRIT演算法很適合用在massive MIMO的環境中,我們也會在各種不同的參數之下去分析ESPRIT演算法的表現。
With the rapid development of wireless communication networks, massive Multiple-Input Multiple-Output (MIMO) technologies satisfy the increasing need of network capacity. In array signal processing, estimation of direction-of-arrival (DoA) and direction-of-departure (DoD) is essential to obtain directional information of sources and to enable the 3-D beamforming. In uplink systems, the DoA is the angle of received signal of the uniform plenary array (UPA) at the base station and DoD is the angle of transmitted signal from the uniform linear array (ULA) at the mobile. In this thesis, the estimation of DoA and DoD estimation for massive MIMO systems is performed with the ESPRIT (estimation of signal parameters via rotational invariance techniques) algorithm. Due to the space limitation of modern mobile networks, antennas at the base station is arranged as a two-dimensional plenary array in order to accommodate large amount of antennas, which can perform 3D beamforming transmittion. 3D millimeter wave massive MIMO has been introduced as an enabling technology for 5G systems. To estimate the high-dimensional channel matrix, the estimation of these AoA and AoD becomes critical for mmWave massive MIMO systems since the signal is propagated from a limited number of paths. In this thesis, we estimate DoA and DoD using ESPRIT algorithm and it shows through simulation results that the ESPRIT algorithm achieves good performance in massive MIMO systems. We will evaluate estimation performance of the proposed algorithm under different testing environments.
目錄
論文審定書 i
誌謝 ii
中文摘要 iii
ABSTRACT iv
目錄 v
圖次 vi
第一章 緒論 1
第二章 系統架構 4
2.1 3D massive MIMO毫米波通道模型 4
2.2 Uplink接收訊號模型 7
2.3 Downlink接收訊號模型 8
第三章 massive MIMO系統通道估測 10
3.1 ESPRIT模型 10
3.2 Uplink通道估測 16
3.3 Downlink通道估測 18
第四章 模擬結果 20
第五章 結論 31
參考文獻 32
參考文獻

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[2] H. Halbauer, S. Saur, J. Koppenborg, and C. Hoek, ``3D beamforming: Performance improvement for cellular networks,'' Bell Labs Tech. J.,vol. 18, no. 2, pp. 37_56, Sep. 2013.
[3] J. G. Andrews et al., ``What will 5G be,'' IEEE J. Sel. Areas Commun.,vol. 32, no. 6, pp. 1065_1082, Jun. 2014.
[4] Z. Pi and F. Khan, “An introduction to millimeter-wave mobile broadband systems,” IEEE Commun. Mag., vol. 49, no. 6, pp. 101–107, 2011.
[5] S. Rangan, T. S. Rappaport, and E. Erkip, “Millimeter wave cellular wireless networks: Potentials and challenges,” arXiv preprint arXiv:1401.2560, 2014.
[6] E. Larsson, O. Edfors, F. Tufvesson, and T. Marzetta, ``Massive MIMO for next generation wireless systems,'' IEEE Commun. Mag., vol. 52, no. 2,pp. 186_195, Feb. 2014.
[7] B. Panzner et al., ``Deployment and implementation strategies for massive MIMO in 5G,'' in Proc. Globecom Workshops, 2014, pp. 346_351.
[8] X. Cheng et al., ``Communicating in the real world: 3D MIMO,'' IEEE Wireless Commun., vol. 21, no. 4, pp. 136_144, Aug. 2014.

[9] R. Roy and T. Kailath, "ESPRIT-estimation of signal parameters via rotational invariance techniques", IEEE Trans. Acoust. Speech Signal Process., vol. 37, pp. 984-995, 1989.
[10]R.O. Schmidt, "Multiple emitter location and signal parameter estimation", IEEE Trans. Antennas Propag., vol. 34, no. 3, pp. 276-280, 1986.
[11] T. Wang, B. Ai, R. He, and Z. Zhong, ‘‘Two-dimension direction-ofarrival estimation for massive MIMO systems,’’ IEEE Access, vol. 3, pp. 2122–2129, 2015.
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