基于势概率假设密度滤波的检测前跟踪新算法

基于势概率假设密度滤波（Cardinalized Probability Hypothesis Density,CPHD）检测前跟踪（Track before detect,TBD）算法能有效解决未知目标数的弱小目标检测跟踪.文章深入研究了CPHD算法,从标准CPHD滤波的粒子权重更新出发,结合检测前跟踪的实际,合理地推导出CPHD-TBD算法的粒子权重更新表达式；分析了CPHD滤波目标势分布的物理意义,实现了目标势分布更新计算在检测前跟踪的应用.将CPHD滤波和TBD进行有效结合,提出了基于势概率假设密度滤波的检测前跟踪算法,并给出其详细实现步骤.仿真实验证明提出的CPHD-TBD算法与现有...

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Bibliographic Details
Published in红外与毫米波学报 Vol. 32; no. 5; pp. 437 - 443
Main Author 林再平 周一宇 安玮
Format Journal Article
LanguageChinese
Published 国防科学技术大学电子科学与工程学院,湖南长沙,410073 2013
Subjects
势分布更新
势概率假设密度滤波
检测前跟踪
粒子更新
cardinalized probability distribution update
cardinalized probability hypothesis density
particle update
track-before-detect
势概率假设密度滤波
势分布更新
检测前跟踪
粒子更新
Online AccessGet full text
ISSN1001-9014
DOI10.3724/SP.J.1010.2013.00437

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Summary:基于势概率假设密度滤波（Cardinalized Probability Hypothesis Density,CPHD）检测前跟踪（Track before detect,TBD）算法能有效解决未知目标数的弱小目标检测跟踪.文章深入研究了CPHD算法,从标准CPHD滤波的粒子权重更新出发,结合检测前跟踪的实际,合理地推导出CPHD-TBD算法的粒子权重更新表达式；分析了CPHD滤波目标势分布的物理意义,实现了目标势分布更新计算在检测前跟踪的应用.将CPHD滤波和TBD进行有效结合,提出了基于势概率假设密度滤波的检测前跟踪算法,并给出其详细实现步骤.仿真实验证明提出的CPHD-TBD算法与现有概率假设密度检测前跟踪（PHD-TBD）算法相比,能更详细地传递目标分布信息,从本质上改变了PHD-TBD对目标数估计的方式,能更准确稳定估计目标数,实现了对目标的发现和状态准确估计,性能明显更优.
Bibliography:LIN Zai-Ping, ZHOU Yi-Yu, AN Wei （School of Electronic Science and Engineering, National University of Defense Technology,Changsha 410073, China）
track-before-detect; cardinalized probability hypothesis density; particle update; cardinalized probabilitydistribution update
31-1577/TN
On the basis of the cardinalized probability hypothesis density （CPHD）, track-before-detect （TBD） algo- rithm is able to effectively solve the detection and tracking of weak point target with unknown target number. A detailed study of the CPHD algorithm which starts from the standard CPHD filter to the practicalities of TBD is presented. The updated expression for calculating particle weight of CPHD-TBD algorithm was deduced. Meanwhile, according to the physical means of the target distribution of CPHD, its update calculation in TBD has been implemented. Ultimately the combination of the CPHD and TBD has been achieved. The method to use it was introduced. The CPHD-TBD algorithm changes the way of target number estimation essentially
ISSN:1001-9014
DOI:10.3724/SP.J.1010.2013.00437