CHEN Yu-dan, HE Yong-qiang, PU Jun-yan, TIAN Xiao. ALaser pulse decoding based on neural network technology[J]. Journal of Applied Optics, 2011, 32(1): 174-178.
Citation: CHEN Yu-dan, HE Yong-qiang, PU Jun-yan, TIAN Xiao. ALaser pulse decoding based on neural network technology[J]. Journal of Applied Optics, 2011, 32(1): 174-178.
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ALaser pulse decoding based on neural network technology

  • 1.

    Department of Optics&Electrical Engineering of Ordnance Engineering College,Shijiazhuang 050003,China;

  • 2.

    No.73906 Unit of PLA,Nanjing 210028,China;

  • 3.

    Taiyuan Satellite Launch Centre of China,Taiyuan 036301,China

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    • Abstract
  • In order to improve the accuracy and recognition efficiency in the process of decoding, laser pulse code was decoded using neural network technology. Firstly, the regular code, such as periodic code and arithmetic code, was decoded using linear neural network. The results showed that, it can recognize PCM code accurately if the pulses of two periods were acquired, and only 4 pulses for arithmetic code. After that, the minimum period of pseudo-random code was recognized using PNN. The results showed that, PNN can identify the minimum period only in limited amount of information.
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