• INFRARED
  • Vol. 44, Issue 11, 36 (2023)
Hao GUO, Qi WANG, Cong-cong SONG, Dong WU, Dong-hao QI, and Xin GUO
Author Affiliations
  • [in Chinese]
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    DOI: 10.3969/j.issn.1672-8785.2023.11.006 Cite this Article
    GUO Hao, WANG Qi, SONG Cong-cong, WU Dong, QI Dong-hao, GUO Xin. Real-Time Processing Method for Optical Rendezvous Data Based on Distributed Processing Platform[J]. INFRARED, 2023, 44(11): 36 Copy Citation Text show less

    Abstract

    Aiming at the problem of real-time and efficient processing of theodolite intersection data, a method of real-time angle measurement data alignment and asynchronous calculation based on improved distribution processing platform is proposed, and the time-consuming principle of rendezvous algorithm is analyzed. According to the characteristics of high real-time performance of rendezvous data and the difficulty of applying algorithms with high time complexity, the distributed platform is used to process the real-time angle measurement data asynchronously, and the traditional synchronous rendezvous data processing flow is improved. The experimental results show that the improved distributed platform has high data processing efficiency and stable performance, and can meet the requirements of embedding and real-time processing of algorithms with high time complexity.
    GUO Hao, WANG Qi, SONG Cong-cong, WU Dong, QI Dong-hao, GUO Xin. Real-Time Processing Method for Optical Rendezvous Data Based on Distributed Processing Platform[J]. INFRARED, 2023, 44(11): 36
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