基于卡尔曼滤波算法的数据链延时补偿

为了减小数据链信息传输处理延时对空战态势判断的影响,将预测滤波技术应用到数据链系统中。研究了直角坐标系下的卡尔曼滤波算法,采用"当前"统计模型来描述目标的机动加速度,在数据链信息传输过程中增加了延时补偿和数据处理,并通过坐标变换将态势信息转换到极坐标系下以适合雷达测量需要。仿真结果表明,应用卡尔曼滤波补偿后系统误差显著减小,大大提高了空战态势的判断精度,取得了比较理想的效果。

Data Link Delay-Time Compensation Based on Kalman Filtering Algorithm

In order to eliminate the effect of tactical digital link （TADIL） delay-time on air combat situation judgment causing by information transmission and deal, prediction filtering technique is applied to data link system. Kalman filtering algorithm in rectangular coordinates is researched, and the current statistic model is used to describe the motor acceleration of targets. Compensation for time delay and data processing is augmented in information transmission, and the information is transformed to polar coordinates through coordinate conversion to meet measurement requirement of radar. Simulation results show that the errors are significantly decreased, the precision of air combat situation judgment are greatly improved, and has obtained the anticipated effect.