非均匀分布量测下的扩展目标跟踪方法

Extended Target Tracking Method under Non-uniform Distribution Measurement

针对雷达方位角变化导致散射源统计特性改变的问题,提出了一种非均匀分布量测下的扩展目标跟踪方法。算法通过轮廓质心法和接受-拒绝采样法产生伪量测,并构建了分层无迹卡尔曼滤波器(hierarchical unscented kalman filter,HUKF)来估计运动状态和形状参数。实验结果表明,相比于传统的无迹卡尔曼滤波方法,该方法对星凸扩展目标有着更好的跟踪性能。

Aiming at the problem that the statistical characteristics of scatterers change with the change of radar azimuth,an extended target tracking method based on non-uniform distribution measurement was proposed.The pseudo measurements were generated by contour centroid method and acceptance-rejection sampling method.A hierarchical unscented Kalman filter(HUKF)was constructed to calculate the posterior probability of motion state and shape parameters.The proposed algorithm is compared with an unscented Kalman filter,and the simulation results show that the proposed method has better tracking performance for star-convex extended targets.