Space-based optical system sensor scheduling based on joint optimization of tracking performance and detection probability

Aiming at the special background of continuous tracking of mid-range targets by space-based optical sensor networks, by analyzing the essential characteristics of mid-range target continuous tracking, we proposed a space-based optical sensor scheduling model to optimize target detection and tracking performance jointly. Specifically we employed the real-valued particle swarm optimization algorithm to find the optimal solution. To demonstrate the superiority of our model, we compared our results with GDOP model, which only considers the tracking accuracy. The comparative results show that the tracking accuracy of the proposed model is comparable to the GDOP model. However, the detection probability of our model is significantly improved, which demonstrates that our model can achieve superior detection accuracy while maintaining good tracking performance.