当坦克和目标进行机动时,坦克火炮射击解命中问题求解条件发生了巨大变化,分析表明,过去基于目标作匀速运动的假定使得求解解命中问题误差过大,以致很难命中目标。针对坦克及目标的机动特性,提出了增加车体运动速度传感器补偿弹丸附加初速、采用机动运动模型进行目标跟踪与预测等改进方案。并以"当前"统计模型为例,将目标机动和极坐标系引入的伪加速度一并考虑,直接在极坐标系下设计卡尔曼滤波算法用于解命中计算,在保证计算精度的情况下,减少了部分计算量。仿真结果证明了该方案的有效性。
The error of solving hit problem,based on constant velocity motion of a target, is too large to hit the target under the condition that the tank and the target are all in motion.The improved method by adding the velocity sensor to compensate the add-on velocity of cannonball and using the maneuvering motion model to track and estimate target was put forward.Taking the current statistical model as an example,the hit calculation was solved by combining target maneuvering with pseudo-acceleration introduced into polar coordinate and the designed Kalman filtering algorithm in the coordinate,to reduce the computation overhead at ensuring the hit precision.The simulated results show that the method is effective.