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INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH
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ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
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Issue: April 2024

Volume 9 | Issue 4

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Paper Title:	WIRELESS SIGNAL TRANSFER METHODS FOR POWER DETECTION AND FLOW CONTROL IN AN OMNIDIRECTIONAL ANTENNA NEURAL NETWORK ALGORITHM
Authors Name:	VISWA PRIYA .S , Dr. U. Muthu Raman M.E.,Ph.D
Unique Id:	IJSDR2304247
Published In:	Volume 8 Issue 4, April-2023
Abstract:	In this study, we implement ERNN (artificial Elman Recurrent Neural Network) for adaptive beamforming with smart antennas. The emission pattern of a uniform linear array antenna may be steered using a neural network to focus many narrow beams on the desirable users while nulling out the signals of the undesired ones. The ERNN is trained using the Levenberg-Marquardt (LM) algorithm and the Resilient Backpropagation (Rprop) method, both of which are supervised training techniques. Five elements are employed in a uniform linear array, with a distance between each member equal to half a wavelength. Since LM is considered the quickest backpropagation training method, but it consumes more memory than other algorithms, the results of training ERNN with LM and Rprop indicated that LM training resulted in superior Neural Network (NN) performance than Rprop training results.
Keywords:	Smart Antenna, Conventional and Adaptive Beamforming, Elman Recurrent Neural Network
Cite Article:	"WIRELESS SIGNAL TRANSFER METHODS FOR POWER DETECTION AND FLOW CONTROL IN AN OMNIDIRECTIONAL ANTENNA NEURAL NETWORK ALGORITHM", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.8, Issue 4, page no.1543 - 1551, April-2023, Available :http://www.ijsdr.org/papers/IJSDR2304247.pdf
Downloads:	000337070
Publication Details:	Published Paper ID: IJSDR2304247 Registration ID:205361 Published In: Volume 8 Issue 4, April-2023 DOI (Digital Object Identifier): Page No: 1543 - 1551 Publisher: IJSDR \| www.ijsdr.org ISSN Number: 2455-2631

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