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Designing a Yagi-Uda Antenna using Genetic Algorithm Technique
Arkadeep Joardar; Abhinav Abhishek; Tanushree Bose Roy
In this project we have proposed a technique to design and optimize a Yagi-Uda antenna with the help of “Genetic Algorithm” (GA) technique. A genetic algorithm code is developed using MATLAB software. All the results of the antenna are tested on software platform. The software used is IE3D software of Mentor Graphics. The aim of this work is to study and observe better directivity, better gain and better efficiency obtained by designing Yagi-Uda antenna with the help of genetic algorithm as compared to other approaches. Fittest solution or optimum solutions of various antenna parameters such as length of active element, length of reflector, length of directors and spacing between these elements are obtained using the genetic algorithm technique and these are utilised to design the Yagi-Uda antenna using the IE3D software. The design involves a Yagi-Uda antenna being developed on a patch. The patch can take many configurations, the most popular being rectangular and circular configurations. Other configurations are much more complex in design and require heavy numerical computations. In this project a rectangular patch is used. The desired Yagi-Uda antenna is simulated by using IE3D simulator. The design is expected to reach high gain, high directivity, high antenna efficiency and to yield a better radiation pattern. Yagi-Uda antennas are physically small in size, low weight and they are highly reliable. Also, such a software controlled antenna presents an interesting option for next generation communication[1].