Phase Centre Optimization in Profiled Corrugated Circular Horns With Parallel Genetic Algorithms

Abstract

Abstract-Achieving a high stability of the phase centre position in horn antennas with respect to frequency is a very desirable aim in reflector antenna design; a highly stable phase centre reduces efficiency dropping for defocusing at the frequency band extremes. By using an appropriate profile for the horn antenna it is possible to obtain horns both compact and with a stable phase centre. In this paper an automatic design procedure, based on Genetic Algorithms, to obtain such horns is described. The algorithm operates on many horn profile parameters, including corrugations, and is based on an accurate fullwave mode matching/combined field integral equation analysis code. To keep computing time down a full parallel algorithm over a 12 CPU parallel virtual machine is described.

Adaptive Genetic Algorithm Based Source Identification With Near-Field Scanning Method

“…Usually, standard GA converges fast to the sub-domain that contains the global optimum, after that, it will probably become very time-consuming to locate the global optimum in local searching process [11,12]. Different kinds of genetic algorithms have been used to solve electromagnetic problems [13][14][15][16][17][18][19][20][21], and in this work, an adaptive GAis developed from standard GAand optimized for solving multi-parameter optimization problems.…”

Genetic Algorithm Optimization of High-Efficiency Wide-Band Multimodal Square Horns for Discrete Lenses

“…Both implement a standard GA exploiting elitism. The fitness function the GA has to maximize is evaluated on the numerical results attained via a proprietary [21,22] full-wave Mode Matching-based (MM) solver [28][29][30][31][32]. This optimization problem is particularly tough also because the design parameter of the problem (geometrical dimensions) are fewer than the constraints (amplitude and phase of all generated propagating modes -TE 10 , TE 30 , TE 50 and undesired TE 12 , TM 12 plus eventual other higher modes generated at the second discontinuity).…”

“…In recent years, genetic algorithms have become a popular optimization tool for many areas of research, including electromagnetics [19][20][21][22][23][24][25][26][27]. Both a proprietary GA-based optimizer [20][21][22][23][24] and the internal Matlab GA toolbox will be used here. Both implement a standard GA exploiting elitism.…”

Design of the High Efficiency Circular Horn Feed for High-Power Microwave System

“…The novel method in the paper can avoid repeat calculations of radiation patterns and every S parameters matrix of step discontinuous. Finding the optimum horn geometry that satisfies a predetermined specification is done using a genetic algorithm (GA), which is a powerful computational method for solving optimization problems [13,15,16].…”