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Fractal frequency selective surface based band stop filters for X-band and Ku-band applications
Department of Electronics and Communication Engineering, ASET, Amity University, Uttar Pradesh, Noida, India; Department of Electronics and Communication Engineering, BSAITM, Faridabad, Haryana, India .
Department of Electronics and Communication Engineering, ASET, Amity University, Uttar Pradesh, Noida, India; Department of Electronics and Communication Engineering, BSAITM, Faridabad, Haryana, India .
Department of Electronics and Communication Engineering, ASET, Amity University, Uttar Pradesh, Noida, India.
University of Gävle, Faculty of Engineering and Sustainable Development, Department of Electronics, Mathematics and Natural Sciences, Electronics.ORCID iD: 0000-0003-2887-049x
2018 (English)In: Proceedings - 2017 3rd International Conference on Advances in Computing, Communication and Automation (Fall), ICACCA 2017, 2018Conference paper, Published paper (Refereed)
Abstract [en]

In this paper, band stop filters using Fractal Frequency Selective Surface (FSS) approach for X-band and Ku-band applications are presented. A 10 mm χ 10 mm FSS unit cell is used and is evolved into four stages to get the fractal approach. Numerical results are calculated using Finite element method solver for electromagnetic structures from Ansys ie. HFSS. The transmission coefficients for each stage confirm the band stop filter property of FSS for X-band and Ku-band. Variation in arm length 'd' is studied both in horizontal and vertical direction respectively to calculate the change in narrow bands and bandwidth.

Place, publisher, year, edition, pages
2018.
Keywords [en]
Band stop, filters, Fractal, Frequency Selective Surface, Filters (for fluids), Fractals, Frequency selective surfaces, Magnetic filters, Numerical methods, Band-stop, Band-stop filters, Electromagnetic structure, Fractal approach, Frequency selective surface (FSS), Numerical results, Transmission coefficients, Vertical direction, Notch filters
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:hig:diva-27651DOI: 10.1109/ICACCAF.2017.8344692Scopus ID: 2-s2.0-85049749215ISBN: 9781509064038 (print)OAI: oai:DiVA.org:hig-27651DiVA, id: diva2:1238975
Conference
3rd International Conference on Advances in Computing, Communication and Automation (Fall), ICACCA 2017, 15-16 Spetember 2017; Dehradun, India
Available from: 2018-08-15 Created: 2018-08-15 Last updated: 2018-12-06Bibliographically approved

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Rönnow, Daniel

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  • apa
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