Vol. 71

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2017-11-13

Genetic Algorithm Optimized Electromagnetic Band Gap Structure for Wide Band Noise Suppression

By Bhargav Appasani, Vijay Kumar Verma, Rahul Pelluri, and Nisha Gupta
Progress In Electromagnetics Research Letters, Vol. 71, 109-115, 2017
doi:10.2528/PIERL17091204

Abstract

Ground bounce noise (GBN) is a major concern in high speed electronic circuits. In this paper a Genetic Algorithm (GA) optimized electromagnetic band gap (EBG) structure is proposed for suppression of the GBN. The unit cell of the structure is comprised of several square patches, each having a dimension of 5 mm x 5 mm. The position of the square patches is optimized using the GA, such that the stopband is maximized. A single unit cell of the optimized structure is fabricated and tested for its stopband characteristics using the vector network analyzer (VNA). The structure is then tested for its signal integrity (SI) using the Agilent ADS software. The single unit cell of the optimized structure provides a wide band gap of 20 GHz with 30 dB isolation and a band gap of 17.4 GHz with 40 dB isolation. The results obtained are compared with the existing results. The optimized structure shows improved performance in terms of stop band gap and signal integrity (SI).

Citation


Bhargav Appasani, Vijay Kumar Verma, Rahul Pelluri, and Nisha Gupta, "Genetic Algorithm Optimized Electromagnetic Band Gap Structure for Wide Band Noise Suppression," Progress In Electromagnetics Research Letters, Vol. 71, 109-115, 2017.
doi:10.2528/PIERL17091204
http://test.jpier.org/PIERL/pier.php?paper=17091204

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