• DocumentCode
    3601822
  • Title

    A Particle Swarm Optimization-Based Approach for Predicting Maximum Radiated Emission From PCBs With Dominant Radiators

  • Author

    Fang-Pin Xiang ; Er-Ping Li ; Xing-Chang Wei ; Jian-Ming Jin

  • Author_Institution
    Dept. of Inf. Sci. & Electron. Eng., Zhejiang Univ., Hangzhou, China
  • Volume
    57
  • Issue
    5
  • fYear
    2015
  • Firstpage
    1197
  • Lastpage
    1205
  • Abstract
    In this paper, an approach is proposed to predict the maximum far-field radiated emission based on phaseless near-field scanning. The maximum radiated emission from printed circuit boards is assumed to be produced by dominant magnetic dipoles located by the near-field measurement. The particle swarm optimization technique is then employed to identify the complex moment components of the dipoles. Once the dominant dipoles at each emission frequency are determined, the maximum far-field radiated emission in the interested frequency range can be calculated using the method of moments. The proposed approach allows a quick assessment of far-field radiated emission precompliance in a wide frequency range by near-field scanning. Experimental results are presented to show its feasibility and effectiveness.
  • Keywords
    magnetic moments; particle swarm optimisation; printed circuits; PCB; magnetic dipoles; maximum far-field radiated emission; maximum radiated emission; method of moments; near-field measurement; particle swarm optimization; phaseless near-field scanning; printed circuit boards; radiators; Atmospheric measurements; Magnetic domains; Magnetic moments; Magnetic recording; Magnetic resonance imaging; Particle measurements; Particle swarm optimization; Maximum radiated emission; method of moments; near-field scanning; particle swarm optimization; printed circuit boards;
  • fLanguage
    English
  • Journal_Title
    Electromagnetic Compatibility, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9375
  • Type

    jour

  • DOI
    10.1109/TEMC.2015.2414174
  • Filename
    7083736