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2021 | OriginalPaper | Buchkapitel

Multi-Beam Generation Using Quasi-Newton method and Teaching Learning Based Optimization algorithm

verfasst von : R. Krishna Chaitanya, P. Mallikarjuna Rao, K. V. S. N. Raju

Erschienen in: Microelectronics, Electromagnetics and Telecommunications

Verlag: Springer Singapore

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Abstract

Satellite communication is extensively used in television broadcasting and mobile communications. Multi-beams are used in satellite communication to communicate different distinct locations with multiple users. Optimization methods like quasi-Newton method (QNM) and teaching–learning-based optimization (TLBO) are used to generate multi-beam pattern using linear antenna arrays. The desired amplitude and phase distributions are determined by using both QNM and TLBO algorithms. The desired multi-beam pattern is plotted in U domain where u = sin θ. QNM has converged much fast and with less number of iterations than TLBO algorithm in generating the multi-beam pattern. The convergence plots are generated for n = 60, 80 elements using QNM and TLBO algorithms.

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Metadaten
Titel
Multi-Beam Generation Using Quasi-Newton method and Teaching Learning Based Optimization algorithm
verfasst von
R. Krishna Chaitanya
P. Mallikarjuna Rao
K. V. S. N. Raju
Copyright-Jahr
2021
Verlag
Springer Singapore
DOI
https://doi.org/10.1007/978-981-15-3828-5_20

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