研究了一个基于相控阵雷达的自适应采样的目标跟踪算法，该算法基于IMM。该算法有两个目的：估计、预测目标的运动状态；估计运动中过程噪声的大小，并利用过程噪声的大小来决定更新时间间隔以适应目标运动状态的变化。文中对自适应更新采样的算法和传统的固定周期采样的IMM算法进行了比较。仿真结果表明：在保证同样的跟踪质量情况下，自适应更新采样算法能减少采样次数。

In this papper, an adaptive sample target tracking algorithm is studied. The purpose of this algorithm is twofold: to estimate and predict the target states; and to estimate the level of process noise. The estimate of the process noise level is used to detemined the sample interval adapted to changing target dynamics. Performance comparisons for constant and adaptive data rates are given.

TN953 TN958.92