Electromagnetic Optimization by Genetic Algorithms
Electromagnetic Optimization by Genetic Algorithms
Combining GA and iterative MVDR for DOA estimation in space-time CDMA systems
Computers and Electrical Engineering
The placement-configuration problem for intrusion detection nodes in wireless sensor networks
Computers and Electrical Engineering
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In this work, wire antennas are designed to jam GSM frequencies using genetic algorithms. These antennas are designed to block communication at 3-band GSM frequencies. They are planned to be mounted on a vehicle and therefore are modeled on a ground plane. Jammer antennas designed in this work are composed of wires, placed on two square dielectric frames, perpendicular to each other. Genetic optimization routines are developed on MATLAB environment for the designs carried out in this work. Electromagnetic simulation program called SuperNEC, which analyses antennas by the method of moments, is used to determine the antenna performances and is called by the developed GA routines. The purpose of the antenna optimization is to obtain low VSWR values and omni-directional radiation pattern near ground at @q=[70^o 80^o 90^o] planes at all GSM frequencies, since the targets will be near ground for this application. Original and interesting antenna designs are obtained as the result of genetic optimization, and are presented in the paper.