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A Robust Architecture Based on Adaptive Recursive Filter for Gigabit Communications Read chapter Read first chapter

2021 | OriginalPaper | Chapter

Comparison of Various Algorithms for Side Lobe Level Reduction in 5G Antenna Arrays

Authors : Y. Laxmi Lavanya, G. Sasibhushana Rao

Published in: Microelectronics, Electromagnetics and Telecommunications

Publisher: Springer Singapore

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Abstract

5G antenna arrays are being designed to generate dedicated stream of data to every single user. This results in more capacity and speed over the network along with the least possible latency rate. Depending upon the direction of the user demanding Internet access, the beam can be steered in that direction. Meanwhile, the occurrence of side lobes in such systems can be menacing. There are several algorithms that can be implemented to reduce side lobes. A comparison of three such algorithms—pattern search, simulated annealing and genetic algorithm—is made and the one which has the best side lobe level reduction is implemented. An 80-element uniform linear array is considered. MATLAB R2018b optimization toolbox has been used for simulation.

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Metadata
Title
Comparison of Various Algorithms for Side Lobe Level Reduction in 5G Antenna Arrays
Authors
Y. Laxmi Lavanya
G. Sasibhushana Rao
Copyright Year
2021
Publisher
Springer Singapore
Book
Microelectronics, Electromagnetics and Telecommunications

Print ISBN: 978-981-15-3827-8

Electronic ISBN: 978-981-15-3828-5

Copyright Year: 2021

DOI
https://doi.org/10.1007/978-981-15-3828-5_48