基于"当前"统计模型的模糊自适应机动目标跟踪算法

结合"当前"统计模型在目标跟踪方面的优越性,提出了基于"当前"统计模型的模糊自适应机动目标跟踪算法,将模糊控制理论应用到"当前"统计模型跟踪算法中,避免了原方法加速度极限值需提前设定和方差调整有限的问题,改为加速度的估计值由其在三角隶属函数中的权重来确定.仿真结果表明该算法提高了对非机动和弱机动目标的跟踪精度,因而具有良好的跟踪性能.

Fuzzy Adaptive Target Tracking Algorithm Based on "Current" Statistical Model

Combining with the advantage of "current" statistical model on target tracking,the fuzzy adaptive target tracking algorithm based on "current" statistical model is brought,and fuzzy control theory to the "current" statistical model is applied,which can avoid the problem that the acceleration of target must be installed previously and the limitation of the adjust system covariance.The estimative value of the acceleration will be confirmed by the power of acceleration with the triangle function.Simulation results show that the new algorithm improves the target tracking capability when the target is not in the power maneuvering state,so the new one is better than the former.