Availability evaluation model for space-based optical aerial target detection system
Author:
Affiliation:

1. Beijing Institute of Tracking and Telecommunication Technology, Beijing 100094, China;2. Shanghai Aerospace Electronic Technology Research Institute, Shanghai 201109, China;3. Beihang University, Beijing 100191, China

Clc Number:

Fund Project:

  • Article
  • |
  • Figures
  • |
  • Metrics
  • |
  • Reference
  • |
  • Related
  • |
  • Cited by
  • |
  • Materials
  • |
  • Comments
    Abstract:

    For space-based optical detection systems, there is usually a difference between actual on-orbit operational performance and designed requirements based on fixed scenarios. To assess the availability of space-based optical detection systems in different backgrounds, the radiation characteristics of aerial targets have been simulated using body radiation and atmospheric transmission models. The background radiation characteristics were also statistically analyzed. Then, for the parameters of the fixed space-based optical detection system, the signal-to-clutter and availability were evaluated under different conditions. A linear relationship between the radiation intensity and the flight height of the target was obtained. For a space-based optical detection system, the analytical availability model was constructed. Finally, multiple groups of data under different simulation conditions were used to validate the universality and reliability of the model. This availability model could significantly reduce the time required to predict the availability of the space-based optical detection system. The model was also adopted to analyze the influence of flight height, mean and variance, and background clutter on the space-based optical detection availability.

    Reference
    Related
    Cited by
Get Citation

ZHAO Jiaqing, ZHANG Lei, DING Xiang, XU Zhongchao, FAN Shiwei, LIU Rongke. Availability evaluation model for space-based optical aerial target detection system[J]. Optoelectronics Letters,2023,19(10):599-604

Copy
Share
Article Metrics
  • Abstract:
  • PDF:
  • HTML:
  • Cited by:
History
  • Received:March 01,2023
  • Revised:April 20,2023
  • Adopted:
  • Online: October 19,2023
  • Published: