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Estimation of surface-based duct parameters from automatic identification system using the Levy flight quantum-behaved particle swarm optimization algorithm

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  • Wenlong Tang
  • Hao Cha
  • Min Wei
  • Bin Tian

Abstract

Atmospheric duct propagation has a significant influence on the performance of wireless communication and radar systems in the maritime environment that makes it essential to master the detailed knowledge of the atmospheric refractivity profile. Automatic identification system (AIS) is a maritime navigation safety communication system that operates in the very high frequency mobile band and the propagation path of AIS signals will be influenced by different atmospheric conditions. In this paper, a new refractivity estimation method based on the AIS signal level is proposed and the Levy flight quantum-behaved particle swarm optimization (LFQPSO) algorithm is presented and applied in the new estimation method to estimate the surface based duct parameters. Numerical simulations demonstrate that the LFQPSO algorithmhas good robustness and the new refractivity estimation method based on the AIS signal level can provide near-real-time estimation ofatmospheric refractivity.

Suggested Citation

  • Wenlong Tang & Hao Cha & Min Wei & Bin Tian, 2019. "Estimation of surface-based duct parameters from automatic identification system using the Levy flight quantum-behaved particle swarm optimization algorithm," Journal of Electromagnetic Waves and Applications, Taylor & Francis Journals, vol. 33(7), pages 827-837, May.
    • Handle: RePEc:taf:tewaxx:v:33:y:2019:i:7:p:827-837
    DOI: 10.1080/09205071.2018.1560365
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