| 摘要: |
| 为了满足工程需要，结合变维卡尔曼滤波器和α－β算法的优点，提出了一种卡
尔曼和α－β变维交互替代目标跟踪算法。通过加入机动检测器监视机动，在目标发生
机动时，采用高阶维数模型和卡尔曼滤波器；机动消失后，退回到低阶维数模型和α－β
滤波器，从而实现了对机动和非机动目标的自适应跟踪，克服了因转弯机动引起的误差突
跳，并显著地减少了计算量。通过Monte Carlo 仿真进一步验证了改进算法的合理性和实
用性。 |
| 关键词: 机动目标跟踪 自适应跟踪 变维滤波 卡尔曼滤波 α－β
滤波 变维交互替代算法 |
| DOI： |
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| 基金项目: |
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| An improved variable dimension and interactive substitution algorithm for maneuvering target tracking |
| ZHANG Liang-liang,ZHOU Feng |
| () |
| Abstract: |
| To meet engineering requirements, considering the advantages of Kalman filter (K
F) and α－β algorithm, the algorithm of variable dimension and interactive
substitution for KF and α－β is proposed. Through putting in a m
aneuvering detecter to monitor target movements, higher dimension model and KF a
re picked to track when target maneuvers, otherwise, choosing lower dimension mo
d
el and α－β filter when maneuvering fades away. In this way, the improved
a
lgorithm can achieve adaptive tracking between maneuvering target a
nd non-maneuvering target.It overcomes the error caused by turn maneuvering a
nd reduces the calculation remarkably.Monte Carlo simulation demonstrates the av
ailability and practicality of the improved algorithm. |
| Key words: maneuvering target tracking adaptive tracking variable dimension filter Kalman filter α－β filter variable dimension and interactive substitution algorithm |
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