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PIER PIER B PIER C PIER M PIER Letters PIER Photonics
2009-10-13
Retrieving Evaporation Duct Heights from Radar Sea Clutter Using Particle Swarm Optimization (PSO) Algorithm
By
Bo Wang,

    Dr. Bo Wang

    School of science

    Xidian University

    China

    Homepage

Zhen-Sen Wu,

    Prof. Zhen-Sen Wu

    School of Science

    Xidian University

    China

    Homepage

Zhenwei Zhao,

    Dr. Zhenwei Zhao

    China Research Institute of Radio-wave Propagation

    China

    Homepage

Hong-Guang Wang

    Dr. Hong-Guang Wang

    China Research Institute of Radio-wave Propagation

    China

    Homepage

Progress In Electromagnetics Research M, Vol. 9, 79-91, 2009
doi:10.2528/PIERM09090403 | Google Scholar

Abstract
Particle Swarm Optimization algorithm (PSO) is a popular stochastic searching optimization algorithm to solve complicated optimization problems. The approach of retrieving duct parameters from the sea-surface reflected radar clutter is also known as Refractivity From Clutter (RFC) technique. RFC technique provides the near-real-time duct parameters to evaluate the radio system performance, without adding any hardware. Basic principles of PSO and its applications and RFC technique are introduced. Evaporation duct is retrieved based on RFC technique using PSO. The performance of PSO is validated using experiment data launched at East China Sea, and compared with those of genetic algorithm (GA) and ant colony algorithm (ACA). The results indicate that PSO has the advantages of faster convergence and higher retrieval precision than the other two methods.
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Citation
Bo Wang, Zhen-Sen Wu, Zhenwei Zhao, and Hong-Guang Wang, "Retrieving Evaporation Duct Heights from Radar Sea Clutter Using Particle Swarm Optimization (PSO) Algorithm," Progress In Electromagnetics Research M, Vol. 9, 79-91, 2009.
doi:10.2528/PIERM09090403
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