摘要
提出一种基于修正模型的自适应跟踪算法(CSM-AKF)。通过状态扩维和机动检测实现模型参数的自适应调整,克服"当前"统计(CS)模型中参数预设的负面影响,提高了系统的跟踪精度以及目标在做强机动时的快速响应能力。仿真结果验证了算法的有效性。
An adaptive algorithm based on the model modified(CSM-AKF) was presented in this paper.The system parameters was adjusted adaptively by extending the state and checking out the maneuver,so the disadvantageous influence which was brought by setting up parameters in the current statistical model were overcome, and both the estimation accuracy of the system and the rapid response were improved when the target maneuvered rapidly.The simulation results showed that the algorithm was valid.
出处
《上海航天》
2010年第6期38-41,共4页
Aerospace Shanghai
关键词
目标跟踪
CS模型
CSM-AKF算法
机动检测
Target tracking
Current statistical model
CSM-AKF algorithm
Checkout of maneuver