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
magiran.com/p1270757  
دانلود و مطالعه متن این مقاله با یکی از روشهای زیر امکان پذیر است:
اشتراک شخصی
با عضویت و پرداخت آنلاین حق اشتراک یک‌ساله به مبلغ 1,390,000ريال می‌توانید 70 عنوان مطلب دانلود کنید!
اشتراک سازمانی
به کتابخانه دانشگاه یا محل کار خود پیشنهاد کنید تا اشتراک سازمانی این پایگاه را برای دسترسی نامحدود همه کاربران به متن مطالب تهیه نمایند!
اطلاعات بیشتر
توجه!
  • حق عضویت دریافتی صرف حمایت از نشریات عضو و نگهداری، تکمیل و توسعه مگیران می‌شود.
  • پرداخت حق اشتراک و دانلود مقالات اجازه بازنشر آن در سایر رسانه‌های چاپی و دیجیتال را به کاربر نمی‌دهد.
In order to view content subscription is required

Personal subscription
Subscribe magiran.com for 70 € euros via PayPal and download 70 articles during a year.
Organization subscription
Please contact us to subscribe your university or library for unlimited access!
More information