卡尔曼滤波在坦克目标状态估计中的应用

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.

Application of Kalman Filtering in Estimation of Tank Target State

in this paper, the writers analyse the current maneuvering target models and their Kalman filtering algorithms, and experiment on a practical algorithm with DSP. The experiment shows that the improvement of target maneuverability will cause serious errors in the fire control system because of the adoption of the current target maneuvering models. So it is necessary to adopt other models, such as self-adaptive model. And it also has a wide propect to achieve Kalman filtering algorithm of high tracting precision and massive real-time calculation with DSP technology.