Applying MLPSO algorithm in the computations of planar near-field antenna measurement

Message:
Abstract:
Use of high frequencies in recent years, has made direct antenna measurement in anechoic chambers an inaccurate method for large antennas. So, near-field measurement has become a necessity. In this paper, planar near-field measurement is applied to a parabolic reflector. To mitigate Fourier transform truncation error which occurs in conventional near-field to far-field (NF-FF) transformation, we use equivalent magnetic current (EMC) method. Using EMC method leads to an inverse scattering problem where modified local best particle swarm optimization (MLPSO) has been used to solve it. In most of inverse scattering problems, MLPSO is much simpler than usual methods of integral equation solving which need Green’s function calculation. The results show that, compared to basic NF-FF transformations, the method presented here gives more accurate results in a wider angular range.
Keywords:

Antenna , near , field measurement , Particle Swarm Optimization (PSO) , near , field to far , field transformation (NF , FF) , equivalent magnetic current (EMC) method

Language:
Persian
Published:
Journal of Applied Electromagnetic, Volume:1 Issue: 1, 2013
Page:
19
https://www.magiran.com/p1270757