Abstract
Based on the cluster-fed reflector antenna, a low-coupling cluster-fed reflector antenna design scheme is proposed to solve the problem of feed occlusion and beam scanning of the forward-fed reflector antenna. The accuracy test and feed coupling test of the prototype are carried out, and the test results meet the design requirements. Then we optimize the beam of the beam feed reflection surface, and the large-scale beam-forming problem is transformed into an optimization problem. An improved genetic algorithm for the target beam optimization is proposed, which adopts the envelope method to model the target beam optimization problem, thus reducing the control difficulty and computational complexity. Based on the original genetic algorithm, the methods of optimal preservation strategy, pseudo-parallel strategy and sharing niche algorithm are introduced to improve the genetic algorithm, to ensure the convergence of the optimization algorithm, increase optimization speed, and enable the algorithm to approximate the Pareto optimal solution.
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References
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Wang, Z., Wang, Y., Fan, C., Li, B., Zhao, C. (2020). Design and Optimization of Cluster Feed Reflector Antenna. In: Liang, Q., Wang, W., Liu, X., Na, Z., Jia, M., Zhang, B. (eds) Communications, Signal Processing, and Systems. CSPS 2019. Lecture Notes in Electrical Engineering, vol 571. Springer, Singapore. https://doi.org/10.1007/978-981-13-9409-6_224
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DOI: https://doi.org/10.1007/978-981-13-9409-6_224
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Publisher Name: Springer, Singapore
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Online ISBN: 978-981-13-9409-6
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