基于小采样周期的机动目标模型跟踪性能研究

Study on Tracking Performance of Maneuvering Target Model Based on Small Sampling Period

分析了小采样周期条件下“当前”统计模型、基于速度估计的自适应模型及自适应常加速度模型，对3种模型的稳态性能和动态性能进行了分析比较，并对3种模型的机动目标跟踪效果进行了仿真。仿真结果表明：小采样周期条件下，3种模型的稳态跟踪性能一致，而在动态跟踪条件下自适应加速度模型性能更优。

After analyzing the＂current＂statistical （CS）model and self-adaptive constant acceleration based on velocity estimation （SCA）model and adaptive constant acceleration （ACA）model based on small sampling period, this paper analyzes the reliable and dynamic performances of the three models and algorithms. Simulation results show that their reliable performances are nearly the same while ACA model＇s dynamic performance is much better than the other models based on small sampling period.