Troposcatter transmission loss prediction based on particle swarm optimisation

被引:3
|
作者
Yuan, Dizhe [1 ]
Chen, Xihong [1 ]
机构
[1] Air Force Engn Univ, Xian, Peoples R China
基金
中国国家自然科学基金;
关键词
Coherent scattering - Transmissions - Frequency bands - Wave transmission - Climate models - Particle swarm optimization (PSO);
D O I
10.1049/mia2.12052
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
Tropospheric scatter is a promising method for over-the-horizon propagation. Transmission loss caused by the three mainstream troposcatter mechanisms is analysed, namely turbulent incoherent scattering theory, coherent reflection by stable layers theory, and incoherent reflection by irregular layers theory. Then an experiment is conducted to explore the relationships among the three mechanisms. Based on this experiment, the troposcatter transmission loss prediction model is established in different climate zones by a particle swarm optimisation algorithm and experimental data from the global troposcatter databank. The simulation shows that this model is more effective than the existing International Telecommunication Union-Radiocommunication Sector (ITU-R) P.617, P.452, and P.2001. Furthermore, by analysing the training parameters' proportion of the new model in different climate zones, the specific composition of three troposcatter mechanisms can be obtained.
引用
收藏
页码:332 / 341
页数:10
相关论文
共 50 条
  • [21] Prediction of geometric errors of robot manipulators with Particle Swarm Optimisation method
    Alici, Guersel
    Jagielski, Romuald
    Sekercioglu, Y. Ahmet
    Shirinzadeh, Bijan
    ROBOTICS AND AUTONOMOUS SYSTEMS, 2006, 54 (12) : 956 - 966
  • [22] Boid particle swarm optimisation
    Cui, Zhihua
    Shi, Zhongzhi
    International Journal of Innovative Computing and Applications, 2009, 2 (02) : 78 - 85
  • [23] Geometric particle swarm optimisation
    Moraglio, Alberto
    Di Chio, Cecilia
    Poli, Riccardo
    GENETIC PROGRAMMING, PROCEEDINGS, 2007, 4445 : 125 - +
  • [24] On the Scalability of Particle Swarm Optimisation
    Piccand, Sebastien
    O'Neill, Michael
    Walker, Jacqueline
    2008 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION, VOLS 1-8, 2008, : 2505 - +
  • [25] Study on optimisation of supply chain inventory management based on particle swarm optimisation
    Yao S.
    Dong Y.
    Gao J.
    Song M.
    International Journal of Industrial and Systems Engineering, 2023, 45 (03) : 365 - 377
  • [26] Multi-group particle swarm optimisation for transmission expansion planning solution based on LU decomposition
    Huang, Shengjun
    Dinavahi, Venkata
    IET GENERATION TRANSMISSION & DISTRIBUTION, 2017, 11 (06) : 1434 - 1442
  • [27] Particle swarm optimisation with spatial particle extension
    Krink, T
    Vesterstrom, JS
    Riget, J
    CEC'02: PROCEEDINGS OF THE 2002 CONGRESS ON EVOLUTIONARY COMPUTATION, VOLS 1 AND 2, 2002, : 1474 - 1479
  • [28] Particle Swarm Optimisation Aided Minimum Bit Error Rate Multiuser Transmission
    Yao, W.
    Chen, S.
    Tan, S.
    Hanzo, L.
    2009 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS, VOLS 1-8, 2009, : 3114 - 3118
  • [29] A hybrid particle swarm based method for process planning optimisation
    Wang, Y. F.
    Zhang, Y. F.
    Fuh, J. Y. H.
    INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 2012, 50 (01) : 277 - 292
  • [30] Resource allocation of radar network based on particle swarm optimisation
    Tian, Lun
    Liu, Feifeng
    Miao, Yingjie
    Li, Ke
    Liu, Quahua
    JOURNAL OF ENGINEERING-JOE, 2019, 2019 (20): : 6568 - 6572