由于雷达数据在获取和传输中受干扰的影响，数据融合中心接收到的雷达测量数据中常常含有“飞点”。这种测量数据中的异常数据对Kalman滤波具有较严重的不利影响。本文利用强跟踪滤波算法，构造容错策略，使之既可以充分利用正常新息(innovations)确保滤波的精度，又可以有效抑制异常新息的不利影响，从而达到对“飞点”数据的容错能力，保持目标跟踪的性能。最后，通过仿真计算验证了该算法的有效性。

Because of both errors in extraction of radar information and communication, the radar measurements received from radar stations often contain outliers .The influence of outliers on the Kalman filter for target tracking is analyzed in this paper, and a new tracking algorithm based on the strong tracking filter with fault-tolerant strategy is suggested. This new algorithm can not only sufficiently absorb good innovations to increase filtering precision but also efficiently restrain bad influence coming from outliers. Simulation suppress show that the modified filtering algorithms are practical and efficiently resistant to outliers in measurements data..

TN957.52

国家自然科学基金项目资助 :40 10 10 19