摘要
Kalman滤波器是一种高速的目标跟踪器。针对不同阶数的Kalman滤波器具有不同的跟踪能力与跟踪效率之间存在的矛盾,设计了一种自适应Kalman滤波算法。该算法使用两级滤波器,根据目标机动性的变化,适当的调整滤波器的阶数,使跟踪结果快速收敛,很好地解决了矛盾。通过对仿真结果分析表明,算法具有可靠、计算简便、快速等特点,模型滤波精度较高,并可实现实时跟踪预测,具有一定的理论价值和实用价值。
Kalman Filter is a high- speed filter for tracking target. It presents an adaptive Kalman filter design to solve the contradiction between different tracking capacity and time of filters with different orders. The algorithm and method utilize a two- stage Kalman estimator, and can adaptively adjust the order of the filter according to the variety of locomotive target so that the tracking results converges quickly on the premise of assuring the tracking accuracy. The result of the instance simulation indicates that the algorithm posed in this article is reliable, simple and rapid, and the model has high estimation/iltering,which can realize real-time trace and prediction and has definite value of both theory an d practice.
出处
《航空计算技术》
2008年第3期97-100,共4页
Aeronautical Computing Technique
基金
西北工业大学明德学院青年教师科研基金资助(2007014)
关键词
卡尔曼滤波
变维
跟踪精度
预测
kalman filter
variable dimension
filtering accuracy
estimation
