基于量测位置分布统计的轨迹终结方法
发布时间：2018-11-24 21:31
【摘要】：针对特殊的水下目标跟踪环境(强杂波干扰),提出一种高效的目标轨迹终结方法:基于量测位置分布统计的轨迹终结方法.目标消失前后,目标轨迹的一些关键信息统计特征发生显著变化,如量测位置分布.基于此原理,依据量测位置分布的变化情况能有效区分虚假轨迹与真实目标轨迹,进而确定目标是否消失.基于量测位置分布统计的轨迹终结方法适用于高密度杂波环境.仿真与分析表明此轨迹终结方法提高了虚假轨迹的删除概率,减小了目标轨迹的误删除概率,因而增强了水下目标跟踪性能.
[Abstract]:For the special underwater target tracking environment (strong clutter interference), an efficient target trajectory termination method is proposed, which is based on the statistics of measured position distribution. Before and after the target vanishes, the statistical characteristics of some key information of the target trajectory change significantly, such as the distribution of the measured position. Based on this principle, the false trajectory can be effectively distinguished from the real target track according to the change of the measured position distribution, and then the target can be determined whether the target disappears or not. The trajectory termination method based on the statistics of measured position distribution is suitable for high density clutter environment. Simulation and analysis show that this trajectory termination method improves the probability of false trajectory deletion and reduces the probability of false deletion of target trajectory, thus enhancing the performance of underwater target tracking.
【作者单位】： 中国科学院沈阳自动化研究所机器人学国家重点实验室;中国科学院大学;
【基金】：中国科学院科技创新重点部署项目(KGFZD-125-014)
【分类号】：O213
，
本文编号：2355136
[Abstract]:For the special underwater target tracking environment (strong clutter interference), an efficient target trajectory termination method is proposed, which is based on the statistics of measured position distribution. Before and after the target vanishes, the statistical characteristics of some key information of the target trajectory change significantly, such as the distribution of the measured position. Based on this principle, the false trajectory can be effectively distinguished from the real target track according to the change of the measured position distribution, and then the target can be determined whether the target disappears or not. The trajectory termination method based on the statistics of measured position distribution is suitable for high density clutter environment. Simulation and analysis show that this trajectory termination method improves the probability of false trajectory deletion and reduces the probability of false deletion of target trajectory, thus enhancing the performance of underwater target tracking.
【作者单位】： 中国科学院沈阳自动化研究所机器人学国家重点实验室;中国科学院大学;
【基金】：中国科学院科技创新重点部署项目(KGFZD-125-014)
【分类号】：O213
，
本文编号：2355136
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