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针对地面防空武器系统传感器的管理问题,面向机动目标跟踪,提出了一种基于Rényi信息增量的多传感器管理方案.首先利用交互式多模型容积卡尔曼滤波解决高斯非线性环境下系统状态估计问题,计算各目标和各传感器配对时的Rényi信息增量;然后建立了基于Rényi信息增量的多传感器管理模型,以系统总效能最大为原则选择传感器进行目标跟踪.关联仿真结果表明,该方法与基于Shannon信息增量的多传感器管理方法相比能够提高跟踪精度,实现传感器资源的有效利用.
Aiming at the problem of the ground air defense weapon system sensor management and aiming at the maneuvering target tracking, a multi-sensor management scheme based on Rényi information increment is proposed.Firstly, the interactive multi-model volume Kalman filter is used to solve the problem of system state estimation in Gaussian nonlinear environment , The Rényi information increment of each target and each sensor pair is calculated. Then, a multi-sensor management model based on Rényi information increment is established, and the sensor is selected for target tracking based on the maximum total system performance. The simulation results show that the proposed method and Compared with the multi-sensor management method based on Shannon information increment, the tracking accuracy can be improved and the sensor resource can be effectively utilized.