分析了现有机动目标数学模型及其卡尔曼滤波算法,并用数字信号处理器(DSP)对一个实际算法进行了实验.实验结果表明目标机动性能的提高将使坦克火控系统由于采用现行目标运动模型而产生较大的误差,因此,在火控系统中采用其他模型,如自适应模型等,势在必行.同时,对于跟踪精度高、实时计算量大的卡尔曼滤波算法,应用DSP技术实现具有良好的发展前景. The existing mathematical model of maneuvering target and its Kalman filter algorithm are analyzed, and an actual algorithm is tested by digital signal processor (DSP) .Experimental results show that the improvement of target maneuverability will make the tank fire control system adopt the current target movement So it is imperative to adopt other models such as adaptive model in fire control system.At the same time, for the Kalman filtering algorithm with high tracking accuracy and large amount of real-time computation, DSP technology To achieve a good development prospects.