针对隐身战斗机作战的电磁隐蔽性需求, 提出网络信息支持下的目标“虚拟跟踪”方法。基于虚拟量测转换建立“虚拟跟踪”的状态模型, 针对网络信息精度和战斗机状态估计误差, 基于量测无偏转换原理对状态模型进行修正。为提高对机动目标“虚拟跟踪”的状态估计精度, 设计基于“当前”统计模型的交互式多模型无迹卡尔曼滤波算法进行滤波处理。针对机动目标跟踪下不同误差影响对比进行的仿真表明, “虚拟跟踪” 方法能快速获得稳定的目标状态估计, 通过提高信息更新频率和战斗机的姿态估计精度, 能获得较高精度水平的目标信息。

Considering the the strict electromagnetic concealment requirement for stealth fighters in combat, we proposed a virtual target tracking method based on network information.State model of virtual tracking was established based on the measurement transformation process, in which the network information precision and fighter state estimate error were taken into consideration.The state model was revised based on unbiased transformation principle.In order to improve the precision of target state estimation, Unscented Kalman Filter of Interacting Multiple Mode (IMM-UKF) algorithm based on current statistical mode was proposed.Finally, simulation was made for maneuvering target tracking under different error conditions.The result showed that “virtual tracking” method can get a stable target state estimation with fast convergence speed and high precision.