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专利名称: 一种基于自适应转移概率矩阵的交互多模型跟踪方法
其他题名: Interactive multi-model tracking method based on self-adaptive transition probability matrix
作者: 毕欣; 杜劲松; 王伟; 高洁; 田星; 赵越南; 赵乾; 丛日刚; 仝盼盼; 李想; 张清石; 徐洪庆; 高扬
所属部门: 智能检测与装备研究室
专利权人: 中国科学院沈阳自动化研究所
专利代理: 沈阳科苑专利商标代理有限公司 21002
专利国别: 中国
专利类型: 发明
专利状态: 实审
摘要: 本发明涉及一种基于自适应转移概率矩阵的交互多模型跟踪方法,包括以下步骤:首先计算状态估计的交互作用,然后通过卡尔曼滤波或粒子滤波,获得各模型的输出,进而更新模型概率,输出结果,根据模型概率的变化,自适应调节状态转移概率,用于下一时刻跟踪。本发明避免模型的转移概率是先验给定,根据模型概率的变化,自适应调节状态转移概率;本发明可以对目标进行稳定的跟踪,获取目标的准确轨迹,判断目标的运动趋势;本发明提升雷达的跟踪性能。
英文摘要: The invention relates to an interactive multi-model tracking method based on a self-adaptive transition probability matrix. The interactive multi-model tracking method comprises the steps of calculating interaction effect of state estimation, acquiring output of each model through Kalman filtering or particle filtering, updating model probability, outputting results, and regulating state transition probability in a self-adaptive manner according to variation of the model probability for tracking at the next moment. The interactive multi-model tracking method avoids the problem that the transition probability of models is priori given, and regulates the state transition probability in a self-adaptive manner according to variation of the model probability; the interactive multi-model tracking method can track a target stably, acquires an accurate trajectory of the target, and judges the movement tendency of the target, and the interactive multi-model tracking method improves the tracking performance of a radar.
是否PCT专利:
申请日期: 2014-11-30
公开日期: 2015-09-02
专利申请号: CN201410715327.7
公布/公告号: CN104880707A
语种: 中文
产权排序: 1
内容类型: 专利
URI标识: http://ir.sia.cn/handle/173321/17016
Appears in Collections:智能检测与装备研究室_专利

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Recommended Citation:
毕欣,杜劲松,王伟,等. 一种基于自适应转移概率矩阵的交互多模型跟踪方法. CN104880707A. 2015.
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