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- Title
On-Board Parameter Optimization for Space-Based Infrared Air Vehicle Detection Based on ADS-B Data.
- Authors
Li, Yejin; Rao, Peng; Li, Zhengda; Ai, Jianliang
- Abstract
Frequent aviation safety accidents of civil aircraft misses and crashes lead to an urgent need for flight safety assurance. Due to long-time flights over different backgrounds, accompanied by the changes in flight altitude and speed, it is difficult for a conventional space-based infrared detection system to use a set of fixed parameters to meet the stable detection requirement. To enhance the awareness of civil aircraft surveillance, a real-time parameter optimization method based on Automatic Dependent Surveillance-Broadcast (ADS-B) data is proposed. According to the background spectral characteristics and the real-time flight data, the most reasonable spectral band is analyzed, using the joint signal-to-noise/clutter ratio ( J S N C R ) as the evaluation criteria. Then, an automatic parameter adjustment is used to maximize the integration time and switch the integration capacitor gear. Numerical simulation results show that the J S N C R increased by 1.16 to 1.31 times, and the corresponding noise equivalent target radiant intensity ( N E T ) reduced from 2.4 W/Sr to 1.2 W/Sr compared with a conventional fixed-parameter detection system. This study lays a solid theoretical foundation for the spectral band analysis of space-based AVD system design. Meanwhile, the proposed method can be used as a standard procedure to improve on-board performance.
- Subjects
AUTOMATIC dependent surveillance-broadcast; RADIANT intensity; AERONAUTICAL safety measures; AIRCRAFT accidents; SYSTEMS design
- Publication
Applied Sciences (2076-3417), 2023, Vol 13, Issue 12, p6931
- ISSN
2076-3417
- Publication type
Article
- DOI
10.3390/app13126931