量测坐标系下的纯距离自适应跟踪算法

为避免传统雷达数据处理方法中因坐标变换而导致噪声统计规律变化的问题,基于“当前”统计模型,在量测坐标系下提出一种纯距离自适应跟踪算法。算法基于拟合的思想,利用纯距离信息在量测坐标系下进行滤波计算,避免了由于坐标系的变换而产生的偏差和耦合误差。针对目标发生机动的情况,实时地调整加速度方差,从而达到自适应跟踪目标的效果。仿真结果表明,该算法对目标状态的估计更加精确,对机动目标具有较好的跟踪性能。

An Range-only Adaptive Tracking Algorithm in Measurement Coordinate System

An range-only adaptive tracking algorithm based on the current statistical model in measurement coordinate system is presented to avoid the changes of noise statistical rule because of coordinate transformation in traditional radar data processing methods. The algorithm is based on fitting,uses range-only data in measurement coordinate system for filtering and avoids deviation and coupling error because of coordinate transformation. In the view of target maneuver,the algorithm adjusts the acceleration variation to track target adaptively. The simulation results shows that the algorithm is more accurate in target state estimation and has better tracking performance to maneuvering target.