J4 ›› 2012, Vol. 30 ›› Issue (6): 561-568.
基于UKF的战术数据链通信延时与补偿算法
针对战术数据链在信息传输过程中通信延时和量测信息的非线性问题, 结合当前统计模型提出了一种基于无迹卡尔曼滤波算法的延时补偿算法。将非线性变换引入到状态预测中,
在状态预测的基础上加入延时补偿程序, 完成对延时的补偿, 且该算法对非线性量测模型进行更新, 避免了量测模型线性化带来的精度降低。分析了战术数据链产生延时的原因及其对攻击决策的影响, 建立了机动目标的当前统计模型, 采用无迹卡尔曼滤波算法对目标进行跟踪, 在该算法对状态预测的基础上加入延时补偿算法, 对机动目标的位移、 速度进行补偿,仿真结果表明该方法有效。
- 1. 南京航空航天大学 自动化学院, 南京 210016|2. 洛阳电光设备研究所, 洛阳 471009
Algorithm Based on UKF of Delay Time Compensation for Tactical Data Li
In order to solve the problems of delay time existed in tactical data link communication and nonlinearity of measurement information, a delay time compensation algorithm based on unscented kalman filtering is proposed combined with a current statistical model. Nonlinear transformation is applied to state prediction, avoiding accuracy decline brought by model linearization. By analyzing delay time and its impact on tactical data link, the current statistical model of the target is established, unscented kalman filtering is adopted to track the target, and delay time compensation algorithm based on the UKF(unscented kalman filtering) algorithm is added to compensate displacement error and velocity error. The simulation results have verified indicate the effectiveness of the proposed method.
- 1. College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China;2.Luoyang Institute of Electro-Optic Equipment, Luoyang 471009, China
摘要：
针对战术数据链在信息传输过程中通信延时和量测信息的非线性问题, 结合当前统计模型提出了一种基于无迹卡尔曼滤波算法的延时补偿算法。将非线性变换引入到状态预测中,
在状态预测的基础上加入延时补偿程序, 完成对延时的补偿, 且该算法对非线性量测模型进行更新, 避免了量测模型线性化带来的精度降低。分析了战术数据链产生延时的原因及其对攻击决策的影响, 建立了机动目标的当前统计模型, 采用无迹卡尔曼滤波算法对目标进行跟踪, 在该算法对状态预测的基础上加入延时补偿算法, 对机动目标的位移、速度进行补偿,仿真结果表明该方法有效。
中图分类号:
- TN919.1