【摘要】 针对雷达航迹中存在的非顺序量测问题,在标准卡尔曼滤波的基础上,建立了该问题的数学模型,提出了用于解决单个非顺序量测一步滞后和多步滞后问题的异步航迹融合算法。通过在原A1算法和Al1算法的基础上融入平滑算法,提出了改进的A1算法和Al1算法,并进行仿真试验。仿真结果表明,改进后的算法能更准确有效的进行目标跟踪。更多还原

【Abstract】 Concerning the problem of out-of-sequence measurement which exists in the track of radar,the model of the problem is built based on the standard Kalman filter,and the asynchronous tracks fusion algorithms which are used to solve the problem of out-of-sequence measurement with one-step and multistep delays are proposed.Modified A1-algorithm and Al1-algorithm are present by combining the smoothing algorithm with the former A1-algorithm and Al1-algorithm.The algorithms are simulated and experimented.The simulation results show that the proposed method has better effect on tracking fusion.更多还原