Wireless Cable Method for High-Order MIMO Terminals Based on Particle Swarm Optimization Algorithm

被引:11
|
作者
Fan, Wei [1 ]
Zhang, Fengchun [1 ]
Kyosti, Pekka [2 ,3 ]
Hentila, Lassi [2 ]
Pedersen, Gert Frolund [1 ]
机构
[1] Aalborg Univ, Dept Elect Syst, Antennas Propagat & Millimeter Wave Syst Sect, DK-9100 Aalborg, Denmark
[2] Keysight Technol Finland Oy, Oulu 90014, Finland
[3] Univ Oulu, Ctr Wireless Commun, Oulu 90014, Finland
关键词
Multiple-input-multiple-output (MIMO) over-the-air (OTA) testing; MIMO performance testing; particle swarm optimization (PSO) algorithm; radio channel propagation; wireless cable method; UNCERTAINTY;
D O I
10.1109/TAP.2018.2858193
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
Conducted cable setups have been dominantly utilized in the industry for performance testing of multiple-input-multiple-output (MIMO) terminals. The wireless cable method, which can achieve cable connection functionality without actual radio frequency cable connections, is a promising alternative. To date, the wireless method has been only discussed for 2 x 2 MIMO terminals in the literature. However, the algorithm is not directly applicable for high-order MIMO terminals, due to the high computation complexity to determine the calibration matrix and high system cost to implement the calibration matrix. In this paper, an efficient particle swarm optimization (PSO) algorithm is proposed to determine the calibration matrix for high-order MIMO systems. Furthermore, a novel implementation of the calibration matrix in the radio channel emulator is proposed, which can significantly reduce the system cost. To validate the proposed algorithm, two MIMO mockups, each equipped with four antennas, were measured in an anechoic chamber. The measured results demonstrated the effectiveness of the PSO algorithm to establish wireless cable connections for 4 x 4 MIMO terminals.
引用
收藏
页码:5536 / 5545
页数:10
相关论文
共 50 条
  • [41] A Wireless Sensor Network Coverage Optimization Algorithm Based on Particle Swarm Optimization and Voronoi Diagram
    Ab Aziz, Nor Azlina Bt.
    Mohemmed, Ammar W.
    Alias, Mohammad Yusoff
    2009 IEEE INTERNATIONAL CONFERENCE ON NETWORKING, SENSING AND CONTROL, VOLS 1 AND 2, 2009, : 596 - +
  • [42] Road network matching method based on particle swarm optimization algorithm
    Yang, Lin
    Fang, Fang
    Dai, Songling
    Wan, Bo
    Zuo, Zejun
    Open Cybernetics and Systemics Journal, 2014, 8 (01): : 1286 - 1292
  • [43] A Novel Numerical Computation Method Based on Particle Swarm Optimization Algorithm
    Zhou, Yongquan
    Wei, Xingqiong
    JOURNAL OF COMPUTERS, 2010, 5 (02) : 226 - 233
  • [44] Information hiding method based upon particle swarm optimization algorithm
    Image and Intelligence Lab., Dept. of Electronics Engineering, Fudan Univ., Shanghai 200433, China
    Xi Tong Cheng Yu Dian Zi Ji Shu/Syst Eng Electron, 2007, 4 (655-658):
  • [45] Vehicle path planning method based on particle swarm optimization algorithm
    Yu, Sheng-long
    Bo, Yu-ming
    Chen, Zhi-min
    Zhu, Kai
    AUTOMATION EQUIPMENT AND SYSTEMS, PTS 1-4, 2012, 468-471 : 2745 - 2748
  • [46] Ontology partition method based on improved particle swarm optimization algorithm
    College of Information Science and Technol., Nanjing Univ. of Aeronautics and Astronautics, Nanjing 210016, China
    Huanan Ligong Daxue Xuebao, 2007, 9 (118-122):
  • [47] Image Retrieval Method based on An Improved Particle Swarm Optimization Algorithm
    Hu, Guanghao
    Yang, Fei
    2015 INTERNATIONAL CONFERENCE ON INTELLIGENT TRANSPORTATION, BIG DATA AND SMART CITY (ICITBS), 2016, : 466 - 469
  • [48] A method of wavelet neural network based on particle swarm optimization algorithm
    Pan Hongxia
    Mao Hongwei
    Huang Jinying
    DYNAMICS OF CONTINUOUS DISCRETE AND IMPULSIVE SYSTEMS-SERIES B-APPLICATIONS & ALGORITHMS, 2007, 14 : 935 - 939
  • [49] A steganographic method based upon JPEG and particle swarm optimization algorithm
    Li, Xiaoxia
    Wang, Jianjun
    INFORMATION SCIENCES, 2007, 177 (15) : 3099 - 3109
  • [50] A Parking Guidance Method Based on Parallel Particle Swarm Optimization Algorithm
    Wang, Bin
    Liu, Ying
    Hei, Xinhong
    Wang, Lei
    Zhang, Zhiqiang
    2014 TENTH INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND SECURITY (CIS), 2014, : 568 - 572