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Pattern Synthesis of Antennas Based on Particle Swarm Optimization Algorithm

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Advances in Computer Science, Environment, Ecoinformatics, and Education (CSEE 2011)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 217))

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Abstract

Multiplexing Antenna Arrays is the rapid development anti-interference key technology of 4G mobile communication. The core is the direction of pattern synthesis. Yet some of the algorithm has the problem of needing lots of data, slow speed of optimization and convergence accuracy. In this paper the improved antenna pattern synthesis based on particle swarm optimal algorithm is presented. Simulation results show that: it has the small calculation quantity. Easy to implement, the good stability, no many parameters adjust. Especially, multi-zero and low side lobe constraint conditions may be optimized to achieve good results.

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References

  1. Gies, D., Rahmat-Samii, Y.: Particle Swarm Optimization (PSO) for Reflector Antenna Shaping. In: IEEE Antenna and Propagation Symposium (2004)

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  5. Gies, D., Rahmat-Samii, Y.: Vector Evaluated Particle Swarm Optimization (VEPSO): Optimization of a Radiometer Array Antenna. In: IEEE Antenna and Propagation Symposium (2004)

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Author information

Authors and Affiliations

  1. College of Information, Beijing Union University, Beijing, China

    Li Duan, Yisong Zhao & Yongyi Xue

Authors
  1. Li Duan
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  2. Yisong Zhao
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  3. Yongyi Xue
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Editor information

Editors and Affiliations

  1. International Science & Education Researcher Association, Wuhan Branch, No.1, Jiangxia Road, Wuhan, China

    Song Lin  & Xiong Huang  & 

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© 2011 Springer-Verlag Berlin Heidelberg

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Duan, L., Zhao, Y., Xue, Y. (2011). Pattern Synthesis of Antennas Based on Particle Swarm Optimization Algorithm. In: Lin, S., Huang, X. (eds) Advances in Computer Science, Environment, Ecoinformatics, and Education. CSEE 2011. Communications in Computer and Information Science, vol 217. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23339-5_1

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  • DOI: https://doi.org/10.1007/978-3-642-23339-5_1

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-23338-8

  • Online ISBN: 978-3-642-23339-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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