摘要
为实现机动目标跟踪,提出一种异步序贯航迹融合算法。融合中心包含匀速和匀加速2种融合模型,均通过信息去相关方法实现序贯航迹融合,并利用调整过程噪声的方法抑制融合发散。对匀加速融合模型的加速度估计进行显著性检验,实现机动检测。当检测到机动时输出匀加速融合模型的结果,反之输出匀速融合模型的结果。仿真结果表明,该算法能实现对机动目标的稳定跟踪,具有较高的跟踪精度。
This paper proposes an asynchronous sequential track fusion algorithm for maneuvering target tracking.The fusion center includes one CV fusion model and one CA fusion model.Both models implement asynchronous track fusion based on the information decorrelation method,and avoid fusion divergence by adjusting the process noises.The maneuvering detection is implemented by the significance test of the acceleration estimates of the CA model.If the maneuver is detected,the fusion result of CA model is output,otherwise fusion result of CV model is output.Simulation results show that the algorithm can track the maneuvering target stably and has higher tracking precision.
出处
《计算机工程》
CAS
CSCD
北大核心
2011年第7期21-23,共3页
Computer Engineering
基金
国家自然科学基金资助项目(50979085)
关键词
机动目标跟踪
异步融合
机动检测
maneuvering target tracking
asynchronous fusion
maneuvering detection
