Volume 43 Issue 11
Nov.  2017
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SUN Shuangcheng, QI Hong, SUN Jianping, et al. Inverse estimation of geometric parameters of aluminum matrix microscale structure grating[J]. Journal of Beijing University of Aeronautics and Astronautics, 2017, 43(11): 2199-2206. doi: 10.13700/j.bh.1001-5965.2017.0055(in Chinese)
Citation: SUN Shuangcheng, QI Hong, SUN Jianping, et al. Inverse estimation of geometric parameters of aluminum matrix microscale structure grating[J]. Journal of Beijing University of Aeronautics and Astronautics, 2017, 43(11): 2199-2206. doi: 10.13700/j.bh.1001-5965.2017.0055(in Chinese)

Inverse estimation of geometric parameters of aluminum matrix microscale structure grating

doi: 10.13700/j.bh.1001-5965.2017.0055
Funds:

National Natural Science Foundation of China 51476043

More Information
  • Corresponding author: QI Hong, E-mail: qihong@hit.edu.cn
  • Received Date: 13 Feb 2017
  • Accepted Date: 07 Jun 2017
  • Publish Date: 20 Nov 2017
  • Micro structure grating is a widely used electronic component. The geometric parameters of one-dimensional rectangular aluminum matrix grating are inversely estimated using stochastic particle swarm optimization (SPSO) algorithm. The theoretical overview of rigorous coupled wave analysis (RCWA) algorithm and particle swarm optimization algorithm is introduced, and RCWA algorithm is employed to solve the electromagnetic field problem within grating. The objective function is formulated based on the spectral reflectance obtained by the direct problem, and then the SPSO algorithm is used to optimize the objective function. The geometric parameters such as the grating period, ridge width and groove depth are retrieved simultaneously. The effects of population size and searching space on the inverse estimation results are also investigated. The retrieval results show that SPSO algorithm is effective and robust for estimating geometric parameters of grating and the population size is suggested as 30.

     

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