MULTI-SENSOR MANAGEMENT BASED ON INFORMATION INCREMENT AND COVARIANCE OF TARGET PRIORITY DISCRIMINATION

摘要

Modern air combat is three-dimensional, omnidirectional, networked and informationalized. The rational management of airborne sensors can make warplanes gain more living space in the battlefield. In order to improve the survival chance of the fighter, the active radar time should be reduced, and the passive radar should be used as much as possible while satisfying the tracking accuracy. Therefore, this paper designs a multi-sensor collaborative tracking method based on the target priority discrimination of the information increment and covariance. When the target threat level is high, active radar is used to ensure tracking accuracy, and reduce the use of active radar when the target threat level is low, reducing the possibility of being discovered.