摘要
设计了一种基于事件触发的航空器目标跟踪算法,对航空器运动状态进行估计。首先,为了解决带宽受限问题,传感器的测量信息仅在满足随机事件触发条件时发送给局部估计器。其次,考虑事件触发机制对于状态更新和估计误差协方差更新的影响,局部估计器采用改进的无迹卡尔曼滤波(UKF)算法得到局部状态估计。此外,利用快速协方差交叉方法融合局部估计器的状态估计,得到目标的融合状态估计。最后,对一个航空器目标跟踪实例进行仿真实验,该算法在取得与UKF算法接近的估计效果时通信次数降低了17%。
An aircraft target tracking algorithm based on event triggering is designed to estimate the aircraft motion state.Firstly in order to solve the problem of bandwidth limitation the measurement information of the sensors is sent to the local estimators only when the trigger condition of random events is met.Secondly considering the influence of the event triggering mechanism on state updating and covariance updating of estimation errors the local estimators adopt an improved Unscented Kalman Filter(UKF)algorithm to obtain local state estimation.In addition the fast covariance intersection method is used to fuse the state estimation of local estimators and the fused state estimation of the target is obtained.Finally an example of aircraft target tracking is used for simulation and the results show that the communication times are reduced by 17%when the algorithm achieves the estimation effect close to that of UKF algorithm.
作者
何文韬
陈欣
HE Wentao;CHEN Xin(College of Automation Engineering Nanjing University of Aeronautics and Astronautics ,Nanjing 210000 China)
出处
《电光与控制》
CSCD
北大核心
2024年第4期18-21,108,共5页
Electronics Optics & Control
关键词
事件触发
带宽受限
无迹卡尔曼滤波
快速协方差交叉
event triggering
bandwidth limitation
unscented Kalman filter
fast covariance intersection
