Optimization an Anechoic Chamber with Ray-tracing and Genetic Algorithms
نویسندگان
چکیده
Anechoic chambers are used for both emission and immunity testing but the ferrite tiles used to line the inside of the chamber are extremely expensive. This paper describes a method of reducing the number of tiles, whilst ensuring a reliable test environment. In this paper, the ray-tracing method for waves propagation is used for evaluation of the reflectivity level of an anechoic chamber, and genetic algorithms are used. And use genetic algorithms to optimize the layout of ferrite tile absorber in a partially lined enclosure to produce a best performance. The results show that it is possible to cover just 80% of the surface of the enclosure with ferrite absorber and obtain good agreement by fully lined enclosure with an error of less than 3 percent over the whole test points.
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