DoA Estimation in EM Lens Assisted Massive Antenna System Using Subsets Based Antenna Selection and High Resolution Algorithms

被引:5
作者
Shaikh, Sarmad Ahmed [1 ]
Tonello, Andrea M. [1 ]
机构
[1] Alpen Adria Univ Klagenfurt, Inst Networked & Embedded Syst, Univ Str 65-67, A-9020 Klagenfurt, Austria
关键词
Massive antenna system; electromagnetic (EM) lens; DoA estimation; wireless communication; 5G networks; OF-ARRIVAL ESTIMATION; ARRAY ANTENNAS; MIMO SYSTEMS; ENVIRONMENTS;
D O I
10.13164/re.2018.0159
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
In recent times, massive antenna array technology has captured significant attention among wireless communication researchers. This is a field with strong potential to increase rates of data transfer; mitigate interference and serve a large number of users simultaneously. To contribute further to this emerging technology, this paper presents an approach for the line-of-sight (LoS) based direction of arrival (DoA) estimation using the electromagnetic (EM) lens-focusing antenna concept. The EM lens focuses the received signal energy as a function of the angle of arrival (AoA) to a small subset/area of the antenna array. This is advantageous, as it helps to reduce both hardware implementation (RF chains) and the complexity of signal processing in the large number of antennas system. Furthermore, this focusing capability of the EM lens provides additional interference rejection gain which leads to estimate the DoA of user terminals precisely. Hence, in this work, subsets based antenna selection approach and subspace-based high resolution DoA estimation algorithms have been considered in combination with the EM lens assisted massive antenna system. In simulations where the DoA is estimated with the EM lens, the results are comparable with conventional methods of DoA estimation without an EM lens, despite the significantly reduced overall system complexity.
引用
收藏
页码:159 / 168
页数:10
相关论文
共 29 条
[1]  
Al-Shuraifi M, 2014, 2014 FOURTH INTERNATIONAL CONFERENCE ON INNOVATIVE COMPUTING TECHNOLOGY (INTECH), P180, DOI 10.1109/INTECH.2014.6927740
[2]  
Allen B., 2005, ADAPTIVE ARRAY SYSTE
[3]  
[Anonymous], 2015, 2015 IEEE 82 VEH TEC
[4]  
[Anonymous], 2016, Antenna Theory and Design
[5]   Direction-of-Arrival Estimation Based on Sparse Recovery with Second-order Statistics [J].
Chen, Hui ;
Wan, Qun ;
Fan, Rong ;
Wen, Fei .
RADIOENGINEERING, 2015, 24 (01) :208-213
[6]   Massive MIMO in Real Propagation Environments: Do All Antennas Contribute Equally? [J].
Gao, Xiang ;
Edfors, Ove ;
Tufvesson, Fredrik ;
Larsson, Erik G. .
IEEE TRANSACTIONS ON COMMUNICATIONS, 2015, 63 (11) :3917-3928
[7]  
Gross F.B., 2005, SMART ANTENNAS WIREL
[8]   Performance Study of Direction of Arrival (DOA) Estimation Algorithms for Linear Array Antenna [J].
Islam, Md. Rafiqul ;
Adam, Ibrahim A. H. .
PROCEEDINGS OF THE 2009 INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING SYSTEMS, 2009, :268-271
[9]  
Jo K. T., 2009, P IEEE GLOBECOM WORK, P1, DOI DOI 10.1109/GLOCOMW.2009.5360684
[10]   Massive MIMO for Next Generation Wireless Systems [J].
Larsson, Erik G. ;
Edfors, Ove ;
Tufvesson, Fredrik ;
Marzetta, Thomas L. .
IEEE COMMUNICATIONS MAGAZINE, 2014, 52 (02) :186-195