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一种新的避免航迹合并的联合综合概率数据关联滤波器

朱昀 王俊 陈刚 郭帅

朱昀, 王俊, 陈刚, 郭帅. 一种新的避免航迹合并的联合综合概率数据关联滤波器[J]. 电子与信息学报, 2017, 39(10): 2346-2353. doi: 10.11999/JEIT170085
引用本文: 朱昀, 王俊, 陈刚, 郭帅. 一种新的避免航迹合并的联合综合概率数据关联滤波器[J]. 电子与信息学报, 2017, 39(10): 2346-2353. doi: 10.11999/JEIT170085
ZHU Yun, WANG Jun, CHEN Gang, GUO Shuai. Novel Track Coalescence Avoiding Joint Integrated Probabilistic Data Association Filter[J]. Journal of Electronics & Information Technology, 2017, 39(10): 2346-2353. doi: 10.11999/JEIT170085
Citation: ZHU Yun, WANG Jun, CHEN Gang, GUO Shuai. Novel Track Coalescence Avoiding Joint Integrated Probabilistic Data Association Filter[J]. Journal of Electronics & Information Technology, 2017, 39(10): 2346-2353. doi: 10.11999/JEIT170085

一种新的避免航迹合并的联合综合概率数据关联滤波器

doi: 10.11999/JEIT170085
基金项目: 

国家自然科学基金(61401526),国家部委共用技术基金(9140A07020614DZ01)

Novel Track Coalescence Avoiding Joint Integrated Probabilistic Data Association Filter

Funds: 

The National Natural Science Foundation of China (61401526), The Foundation of National Ministries (9140A07020614DZ01)

  • 摘要: 针对联合综合概率数据关联算法(JIPDA)存在的航迹合并问题,将目标建模为随机有限集(RFS)提出改进的JIPDA算法。传统JIPDA首先产生初始概率密度函数(PDF),之后对该PDF进行近似来估计目标状态。为了使目标状态估计PDF与初始PDF之间的相似性最大化,当目标标签无意义时,提出对JIPDA的初始PDF进行优化。将KL散度作为相似性的衡量标准,建立起优化过程的代价函数。仿真实验表明,所提方法可有效地抑制传统JIPDA引起的航迹合并。
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出版历程
  • 收稿日期:  2017-01-23
  • 修回日期:  2017-07-17
  • 刊出日期:  2017-10-19

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