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

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Microelectronics, Electromagnetics and Telecommunications

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 655))

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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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Correspondence to R. Krishna Chaitanya .

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Krishna Chaitanya, R., Mallikarjuna Rao, P., Raju, K.V.S.N. (2021). Multi-Beam Generation Using Quasi-Newton method and Teaching Learning Based Optimization algorithm. In: Chowdary, P., Chakravarthy, V., Anguera, J., Satapathy, S., Bhateja, V. (eds) Microelectronics, Electromagnetics and Telecommunications. Lecture Notes in Electrical Engineering, vol 655. Springer, Singapore. https://doi.org/10.1007/978-981-15-3828-5_20

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  • DOI: https://doi.org/10.1007/978-981-15-3828-5_20

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-15-3827-8

  • Online ISBN: 978-981-15-3828-5

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