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
Link To Document