Optimization and improved Bandwidth of Fork shape Microstrip Antenna via Artificial Neural Network /

dc.campus	Chennai
dc.contributor.author	Chakraborty, Shamik
dc.date.accessioned	2025-02-20T12:02:09Z
dc.date.accessioned	2025-03-31T16:57:55Z
dc.date.available	2025-02-20T12:02:09Z
dc.date.issued	2016-04-01
dc.description.abstract	A compact Fork- shaped Microstrip patch antenna with improved bandwidth is presented in this paper. The proposed antenna is design and analysis with dielectric substrate of RT/Duroid 2.2 and substrate thickness 3.17 mm. Antenna resonates at multi band of 7.46 GHz and 4.46 GHz .The proposed antenna isoptimized with ANN model .The comparison between measured, simulated and ANN results for slotted microstrip patch antenna has been discussed. The proposed antenna has been fabricated and tested in laboratory .The measured and simulated results are exhibits good agreement. The proposed antenna achieved 40.34% of bandwidth at centre frequency of 7.46 GHz with VSWR ≤ 2 and gain is 4.09dBi
dc.identifier.uri	https://doi.org/10.9790/2834-1104040712
dc.identifier.uri	https://dspacenew8-imu.refread.com/handle/123456789/2431
dc.language.iso	en
dc.publisher	IOSR-JECE
dc.school	School of Marine Engineering and Technology
dc.subject	Bandwidth;
dc.subject	Gain;
dc.subject	Fork-slot;
dc.subject	Microstrip antenna;
dc.subject	Return loss;
dc.subject	ANN.
dc.title	Optimization and improved Bandwidth of Fork shape Microstrip Antenna via Artificial Neural Network /
dc.type	Article

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