摘要
机动目标跟踪广泛应用于军事和民用领域。本文针对机动目标跟踪问题,在“当前”统计模型的基础上,实现了Kalman滤波算法在工程上的应用;同时利用速度预测估计与实时速度估计间的偏差进行自适应方差调整,提出了改进的“当前”统计模型自适应滤波算法。工程实践表明,基于改进模型的Kalman滤波算法在跟踪机动目标时具有良好的跟踪性能,同时也极大改善了对一般非机动目标的跟踪能力。
The maneuvering target track widely applies to military and the civil fields. Aiming at ma neuvering target track question, according to the ＂in current＂ statistical model, this paper describes applica tion of the Kalman filter algorithm to practical project. The paper uses the deviation between the speed forecast estimation and the real time speed estimation to perform adaptive variance adjustment, and proposes an improved ＂in current＂ statistical model adaptive filtering algorithm. The project practice indicates that the Kalman filter algorithm based on improvement model has the good performance for tracking of maneuvering target, and also improves greatly tracking capability for general nonturning target.
出处
《雷达科学与技术》
2006年第1期50-55,共6页
Radar Science and Technology
基金
武器装备预研项目(No.51407030401DZ4803)
