• DocumentCode
    303563
  • Title

    A combination of piecewise harmonic balance technique and neural network for analyzing active antenna

  • Author

    Jiazong Zhang ; Yunyi Wang ; Xiangdong Wang

  • Author_Institution
    State Key Lab., Southeast Univ., Nanjing, China
  • Volume
    1
  • fYear
    1996
  • fDate
    21-26 July 1996
  • Firstpage
    514
  • Abstract
    Active antenna which offers much potential as useful circuits for future applications are a newly developing area. Several methods for analysing active antennas are presented. The first method relies on the FDTD technique. In this approach the time domain model of active devices is introduced into the FDTD frame. The large signal characteristics of active devices and the behaviour of antennas are both taken into account. This is considered to be the most rigorous method. This paper presents a simple method for analysing active antennas. The method is based on the piecewise harmonic balance technique. A neural network is used to speed up the optimization by replacing repeated circuit simulation. Therefore, the new approach is much faster than the traditional optimization technique. Compared with the data obtained from FDTD, the results also agree well.
  • Keywords
    CAD; active antennas; computer aided analysis; electrical engineering; electrical engineering computing; learning (artificial intelligence); microstrip antennas; multilayer perceptrons; optimisation; piecewise-linear techniques; CAD; FDTD; active antenna analysis; active devices; large signal characteristics; multilayer perceptron; neural network training; optimization; patch antenna; piecewise harmonic balance technique; time domain model; Circuit simulation; Costs; Finite difference methods; Harmonic analysis; Neural networks; Neurons; Nonlinear equations; Optimization methods; Patch antennas; Time domain analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Antennas and Propagation Society International Symposium, 1996. AP-S. Digest
  • Conference_Location
    Baltimore, MD, USA
  • Print_ISBN
    0-7803-3216-4
  • Type

    conf

  • DOI
    10.1109/APS.1996.549650
  • Filename
    549650