On-Board Parameter Optimization for Space-Based Infrared Air Vehicle Detection Based on ADS-B Data

Frequent aviation safety accidents of civil aircraft misses and crashes lead to an urgent need for flight assurance. Due long-time flights over different backgrounds, accompanied by the changes in altitude speed, it is difficult a conventional space-based infrared detection system use set fixed parameters meet stable requirement. To enhance awareness surveillance, real-time parameter optimization method based on Automatic Dependent Surveillance-Broadcast (ADS-B) data proposed. According background spectral characteristics data, most reasonable band analyzed, using joint signal-to-noise/clutter ratio (JSNCR) as evaluation criteria. Then, automatic adjustment used maximize integration time switch capacitor gear. Numerical simulation results show that JSNCR increased 1.16 1.31 times, corresponding noise equivalent target radiant intensity (NET) reduced from 2.4 W/Sr 1.2 compared with fixed-parameter system. This study lays solid theoretical foundation analysis AVD design. Meanwhile, proposed can be standard procedure improve on-board performance.