Abstract
Multiple flat beams have an extensive range of applications in mobile and wireless communications. They facilitate many users to connect simultaneously. Multiple beam pattern can be produced utilizing both conventional and modern optimization techniques. Teaching learning based optimization and Firefly are applied for Multibeam purpose in this paper. Multibeam with a beamwidth of 0.2 (in U = sinθ) each are produced. In the present work, unsymmetric array antenna is utilized to generate the Multibeam pattern. The beams are well-formed, and they are observed to be optimized. The patterns are presented in U domain. The resultant distribution of antenna parameters is found, with the goal that they can be used directly in Array antenna design.
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References
Isernia, T., AresPena, F., Bucci, O.M., D’Urso, M., Gomez, J.F., Rodriguez, J.A.: A hybrid approach for the optimal synthesis of pencil beams through array antennas. IEEE Trans. Antennas Propag. 52(11), 2912–2918 (2004)
Liang, J.J., Qin, A.K., Suganthan, P.N., Baskar, S.: Comprehensive learning particle swarm optimizer for global optimization of multimodal functions. IEEE Trans. Evol. Comput. 10(3), 281–295 (2006)
Chakravarthy, V.V.S.S.S., Chowdary, P.S.R., Panda, G., Anguera, J., Andújar, A., Majhi, B.: On the linear antenna array synthesis techniques for sum and difference patterns using flower pollination algorithm. Arabian J. Sci. Eng. 43(8), 3965–3977 (2017)
Bucci, O.M., Isernia, T., Morabito, A.F.: An effective deterministic procedure for the synthesis of shaped beams by means of uniform-amplitude linear sparse arrays. IEEE Trans. Antennas Propag. 61(1), 169–175 (2013)
Ghayoula, R., Traii, M., Gharsallah, A.: Application of the neural network to the synthesis of multibeam antennas array. In: IEEE Radar Conference, pp. 17–20. IEEE Press, Boston (2007)
Manica, L., Rocca, P., Oliveri, G., Massa, A.: Synthesis of multi-beam sub-arrayed antennas through an excitation matching strategy. IEEE Trans. Antennas Propag. 59(2), 482–492 (2011)
Wu, Zong-Sheng, Fu, Wei-Ping, Xue, Ru: Nonlinear inertia weighted teaching-learning-based optimization for solving global optimization problem. J. Comput. Intell. Neurosci. 2015(87), 6–15 (2015)
Chakravarthy, V.V.S.S.S., Mallikarjuna Rao, P.: Implementation of TLBO for circular array synthesis. Int. J. Advanc. Technol. Innovat. Res. 7(3), 351–355 (2015)
Xiaowen, Z., Qingshan, Y., Yunhua, Z.: Application of TLBO to synthesis of sparse concentric ring array. In: European Conference on Antennas and Propagation (EuCAP), pp. 10–15. IEEE Press, Davos (2016)
Balanis, C.A.: Antenna Theory Analysis and Design. Wiley, Interscience, New Jersey (2005)
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Chaitanya, R.K., Mallikarjuna Rao, P., Raju, K.V.S.N., Raju, G.S.N. (2020). Multiple Flat Beams Generation Using Firefly and Teaching Learning Based Optimization Techniques. In: Satapathy, S., Bhateja, V., Mohanty, J., Udgata, S. (eds) Smart Intelligent Computing and Applications . Smart Innovation, Systems and Technologies, vol 160. Springer, Singapore. https://doi.org/10.1007/978-981-32-9690-9_46
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DOI: https://doi.org/10.1007/978-981-32-9690-9_46
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