期刊名称：International Journal of Innovative Research in Science, Engineering and Technology
印刷版ISSN：2347-6710
电子版ISSN：2319-8753
出版年度：2017
卷号：6
期号：6
页码：11834
DOI：10.15680/IJIRSET.2017.0606185
出版社：S&S Publications
摘要：This paper discusses the existing optimization techniques and then Genetic Algorithm has been appliedas optimization technique in order to enhance the response. Surface Acoustic Wave Filters are particular Band PassFilters which are currently used in electronic equipments for qualitative communication. Developers of SAW Filtershave faced challenges that arise from design complications, limited practical upper frequency, high manufacturing costs,selection of waveguide material, filter dimensions, limited power handling and examining frequency characteristicscorresponding to given specifications. The size of the SAW filter is also a main issue because frequency response of afilter depends on its size. The structure of Inter Digital Transducer (IDT) decides its frequency response. So, in order tohave desired response, the structure must be known. The best structure is one for which the Frobenius norm distance isminimum. The structure includes the number of units to be cascaded and their positions. It is a combinatorialoptimization problem. The paper presents Genetic Algorithm technique for finding the combinations of the IDTs forwhich the Frobenius norm distance is minimum. By obtaining desired frequency response at multiple frequency points,it results in reduction of size of the filter.
