首页> 外文会议> >Tracking maneuvering targets with an interacting multiple model filter containing exponentially-correlated acceleration models
【24h】

Tracking maneuvering targets with an interacting multiple model filter containing exponentially-correlated acceleration models

机译:使用包含指数相关加速度模型的交互多模型过滤器跟踪机动目标

获取原文

摘要

An interacting multiple model (IMM) filter with constant velocity and exponentially-correlated acceleration (ECA) models is proposed for tracking maneuvering targets. An IMM filter is implemented separately in each Cartesian coordinate to allow for different model probabilities in each coordinate. For each coordinate, one of two ECA models is designed to track an increasing acceleration while the other ECA model is designed to track a decreasing acceleration. The IMM filter is designed so that the ECA model with increasing acceleration provides transition from the constant velocity model to the ECA model with decreasing acceleration. The ECA model with decreasing acceleration provides transition to the constant velocity model. Simulated tracking results are given for a constant speed target performing a 'S' trajectory maneuver.
机译:提出了一种具有恒定速度和指数相关加速度(ECA)模型的交互多模型(IMM)滤波器,用于跟踪机动目标。 IMM过滤器在每个笛卡尔坐标中分别实现,以允许在每个坐标中使用不同的模型概率。对于每个坐标,两个ECA模型中的一个被设计为跟踪增加的加速度,而另一个ECA模型被设计为跟踪减小的加速度。 IMM滤波器的设计使加速度增加的ECA模型提供了从恒定速度模型向加速度减少的ECA模型的过渡。加速度降低的ECA模型提供了向恒定速度模型的过渡。对于执行“ S”轨迹操纵的恒速目标,给出了模拟跟踪结果。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号