The Sensors' Spatial-Temporal Allocation by Linear Programming in Multi-Fighter Cooperative Detection

This paper focuses on spatial-temporal allocation of the sensors in multi-fighter cooperative detection. Airborne sensor must be coordinated efficiently to detect battlefield situation for finishing the operation which is regarded as main facilities to get scene information. According to the relationship between detection information and sensor performance, an allocation method by linear programming is proposed for improving the sensors' ability entirely. Firstly the parameters of sensor detection performance is changed into a linear value for operation, then gain the information measurement matrix among sensors and targets or detection cell, finally transform the optimization problem into a linear programming to solve. The base of spatial-temporal allocation is the relationship that sensors' different ability from the object in the combat field, so the allocation result must be update terminal by the change of operation platform. In this way, a whole sensor system with a high performance consists of individual sensors.