检索规则说明:AND代表“并且”;OR代表“或者”;NOT代表“不包含”;(注意必须大写,运算符两边需空一格)
检 索 范 例 :范例一: (K=图书馆学 OR K=情报学) AND A=范并思 范例二:J=计算机应用与软件 AND (U=C++ OR U=Basic) NOT M=Visual
作 者:于勇政 王伟[1] 蒲治伟 YU Yongzheng;WANG Wei;PU Zhiwei(College of Intelligent Science and Engineering,Harbin Engineering University,Harbin 150001,China)
机构地区:[1]哈尔滨工程大学智能科学与工程学院,黑龙江哈尔滨150001
出 处:《现代防御技术》2025年第1期23-36,共14页Modern Defence Technology
基 金:国家自然科学基金(62271163)。
摘 要:针对多平台被动、主动雷达探测信息异步和高密度杂波混叠导致多目标状态估计精度下降与多目标数量过度估计的问题,提出基于信息关联加权的概率假设密度滤波算法。构建多目标跟踪模型,并分析了现有算法易受杂波影响的机理。推导了基于信息关联加权的多目标跟踪算法,根据目标速度和可容忍误差设置容忍时间参数,将异步时间较短的探测信息近似为同步,利用关联算法筛选来源于同一目标的被动、主动雷达信息,利用最小方差加权融合提升探测精度,而随机分布的杂波由于角度数值差距较大导致难以关联而被剔除。仿真分析表明,所提算法相比于现有算法提升了多目标状态估计精度,减少多目标数量过度估计情况。A probability hypothesis density filtering algorithm based on information association weighting is proposed to address the two issues of decreased accuracy in multi-target state estimation and overestimation of the number of multi-targets,which are caused by asynchronicity and high-density clutter aliasing in passive and active radar detection information across multiple platforms.Firstly,a multi-target tracking model is constructed,and the mechanism of why existing algorithms are susceptible to clutter is analyzed.Secondly,a multi-target tracking algorithm based on information association weighting is derived.The tolerance time parameter is set according to the target speed and tolerable error,and the detection information with a short asynchronous time is approximated as synchronous information.The association algorithm is used to select passive and active radar information from the same target,and the minimum variance weighted fusion is used to improve detection accuracy.The randomly distributed clutter is filtered out,due to its association difficulties caused by large differences in angle values.Finally,simulation analysis shows that the proposed algorithm improves the accuracy of multi-target state estimation and reduces the overestimation of the number of multi-targets compared to existing algorithms.
关 键 词:多目标跟踪 协同探测 概率假设密度滤波 信息关联 最小方差加权
分 类 号:TJ76[兵器科学与技术—武器系统与运用工程]
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在链接到云南高校图书馆文献保障联盟下载...
云南高校图书馆联盟文献共享服务平台 版权所有©
您的IP:3.21.125.194