中国物理B ›› 2011, Vol. 20 ›› Issue (9): 99201-099201.doi: 10.1088/1674-1056/20/9/099201

• GEOPHYSICS, ASTRONOMY, AND ASTROPHYSICS • 上一篇    

Remote sensing of atmospheric duct parameters using simulated annealing

赵小峰, 黄思训, 项杰, 施伟来   

  1. Institute of Meteorology, PLA University of Science and Technology, Nanjing 211101, China
  • 收稿日期:2011-01-19 修回日期:2011-05-19 出版日期:2011-09-15 发布日期:2011-09-15

Remote sensing of atmospheric duct parameters using simulated annealing

Zhao Xiao-Feng(赵小峰)†, Huang Si-Xun(黄思训), Xiang Jie(项杰), and Shi Wei-Lai(施伟来)   

  1. Institute of Meteorology, PLA University of Science and Technology, Nanjing 211101, China
  • Received:2011-01-19 Revised:2011-05-19 Online:2011-09-15 Published:2011-09-15

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摘要： Simulated annealing is one of the robust optimization schemes. Simulated annealing mimics the annealing process of the slow cooling of a heated metal to reach a stable minimum energy state. In this paper, we adopt simulated annealing to study the problem of the remote sensing of atmospheric duct parameters for two different geometries of propagation measurement. One is from a single emitter to an array of radio receivers (vertical measurements), and the other is from the radar clutter returns (horizontal measurements). Basic principles of simulated annealing and its applications to refractivity estimation are introduced. The performance of this method is validated using numerical experiments and field measurements collected at the East China Sea. The retrieved results demonstrate the feasibility of simulated annealing for near real-time atmospheric refractivity estimation. For comparison, the retrievals of the genetic algorithm are also presented. The comparisons indicate that the convergence speed of simulated annealing is faster than that of the genetic algorithm, while the anti-noise ability of the genetic algorithm is better than that of simulated annealing.

Abstract: Simulated annealing is one of the robust optimization schemes. Simulated annealing mimics the annealing process of the slow cooling of a heated metal to reach a stable minimum energy state. In this paper, we adopt simulated annealing to study the problem of the remote sensing of atmospheric duct parameters for two different geometries of propagation measurement. One is from a single emitter to an array of radio receivers (vertical measurements), and the other is from the radar clutter returns (horizontal measurements). Basic principles of simulated annealing and its applications to refractivity estimation are introduced. The performance of this method is validated using numerical experiments and field measurements collected at the East China Sea. The retrieved results demonstrate the feasibility of simulated annealing for near real-time atmospheric refractivity estimation. For comparison, the retrievals of the genetic algorithm are also presented. The comparisons indicate that the convergence speed of simulated annealing is faster than that of the genetic algorithm, while the anti-noise ability of the genetic algorithm is better than that of simulated annealing.

Key words: remote sensing, refractivity estimation, electromagnetic wave propagation, simulated annealing

中图分类号:  (Electromagnetic wave propagation)

  • 92.60.Ta
78.20.Ci (Optical constants (including refractive index, complex dielectric constant, absorption, reflection and transmission coefficients, emissivity)) 02.30.Zz (Inverse problems)