Abstract
Antennas play an important role in the operation of all radio equipment, which is widely used in wireless local area networks, mobile telephony, and satellite communication. The antenna array synthesis seeks steering nulls in the direction of interference and placing the main beam directed to the desired signal. In this paper, the pattern synthesis is modeled as a single-objective combinatorial optimization problem with constraints. The Brain Storm Optimization (BSO) is modified for pattern synthesis of the planar antenna array. Instead of adopting the k-mean clustering, the proposed method follows the Gaussian Mixture Model and also adopted the idea of the discrete Genetic Algorithm (GA) in introducing the binary creating operator into our model. To verify the performances of the proposed method, it is applied to pattern synthesis of the planar antenna array in comparing with the GA. The simulation results show that the proposed BSO algorithm in its modified version has good applicability for the synthesis of thinned planar arrays.
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Acknowledgment
This work is supported by the National Key R&D Program of China (No. 2018YFC0407101), Fundamental Research Funds for the Central Universities (No. 2019B22314), National Natural Science Foundation of China (No. 61403121), Program for New Century Excellent Talents in Fujian Province University (No. GY-Z18155), Program for Outstanding Young Scientific Researcher in Fujian Province University (No. GY-Z160149) and Scientific Research Foundation of Fujian University of Technology (No. GY-Z17162).
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Chen, J., Bulgan, N., Xue, X., Fan, X., Zhang, X. (2019). Planar Thinned Antenna Array Synthesis Using Modified Brain Storm Optimization. In: Tan, Y., Shi, Y., Niu, B. (eds) Advances in Swarm Intelligence. ICSI 2019. Lecture Notes in Computer Science(), vol 11655. Springer, Cham. https://doi.org/10.1007/978-3-030-26369-0_26
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DOI: https://doi.org/10.1007/978-3-030-26369-0_26
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