Sensor Management Based on Covariance Control Strategy for LEO Satellite Constellation

The problem of multi-target multi-sensor management for tracking midcourse targets using sensors located on the low-earth orbit (LEO) satellite constellation is studied. The coverage model of tracking sensor and the satellite-borne infrared sensor measurement model are reviewed. The sensor management algorithm for tracking multi-target is studied by using the covariance control strategy. The optimistic model aiming to minimize the switch of sensors during tracking period is established. Furthermore, the detailed management algorithm is presented. The numerical simulations are implemented to confirm that the proposed management algorithm is provided with the feasibility, superiority and adaptability confronted with the scenario with varying number of targets. Comparison with the algorithm based on PCRLB shows that it provides with a scheduling order which makes the sensors less relocated from the targets.