改进卡尔曼滤波算法在伺服跟踪系统中的应用

Application of the Improved Kalman Filter Algorithm to the Servo Tracking System

针对图像跟踪器脱靶量数据噪声干扰较为严重的问题,提出了在伺服跟踪过程中采用卡尔曼滤波算法,并就遮挡和延时问题进行了相应的处理,在目标图像位置的精确预测以及目标速度的平滑方面获得了良好效果。实际应用中实现了高速度、高精度系统的平稳跟踪,达到了跟踪系统的技战术要求。

Considering the noise disturbance of the image tracker′s output data,the application of Kalman filter Algorithm to the servo tracking process is presented.The corresponding process of the occlusion and time-delay has been made.As a result,the precise forecast of the target image position and smoothness of objects′ speed are carried out.The steady tracking of great velocity and highly precise system are realized in the application of practice.The tracking system also reached request of technique and tactics.