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基于序列霍夫变换的概率假设密度滤波算法 被引量:2

Probability hypothesis density filtering algorithm based on sequential Hough transform
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摘要 针对经典的自适应新生强度概率假设密度滤波算法在高杂波密度环境下存在计算复杂度较高的问题,提出一种基于序列霍夫(Hough)变换的概率假设密度滤波算法:将传统航迹起始中的Hough变换引入随机有限集,解决标准Hough变换的航迹簇拥问题,提高Hough变换的准确度;并将序列Hough变换与概率假设密度(PHD)相结合,通过序列Hough变换得到目标新生位置信息,将其作为PHD的新生目标强度进行迭代更新。实验结果表明,该算法对新生目标反应更为迅速,在高杂波环境下消耗时间更短,适合实际工程应用。 Aiming at the problem of high computational complexity in high clutter density environment for the classical adaptive newborn intensity probability hypothesis density filtering algorithm,the paper proposed a probability hypothesis density filtering algorithm based on sequential Hough transform:the Hough transform in traditional track initiation was introduced into random finite set for solving the clustering problem of standard Hough transform and improving the accuracy of Hough transform;in addition,by combining the sequential Hough transform with the probability hypothesis density(PHD),the target newborn position information was obtained by the sequence Hough transform,which was used as the PHD newborn target intensity for iterative update.Experimental result showed that the proposed algorithm could respond more quickly to new targets and consume less time in high clutter environment,which would be suitable for practical engineering application.
作者 刘文德 曹明基 聂东虎 韦佳利 李东奇 吴鑫宇 戴佳瑞 LIU Wende;CAO Mingji;NIE Donghu;WEI Jiali;LI Dongqi;WU Xinyu;DAI Jiarui(Acoustic Science and Technology Laboratory/Key Laboratory of Marine Information Acquisition and Security of Ministry of Industry and Information Technology(Harbin Engineering University)/College of Underwater Acoustic Engineering,Harbin Engineering University,Harbin 150001,China;The 54th Research Institute of China Electronics Technology Group Corporation,Shijiazhuang 050081,China;Systems Engineering Research Institute,China State Shipbuilding Corporation,Beijing 100094,China)
出处 《导航定位学报》 CSCD 2023年第1期102-106,128,共6页 Journal of Navigation and Positioning
基金 国家自然科学基金资助项目(11974090,U1806201) 国防基础科研项目(JCKY2021604B013,JCKY2019604B001) 国防科技173计划技术领域基金项目 重点实验室基金项目(6142109180305) 中央高校基本科研业务费专项资金资助项目(3072021CFJ0510)。
关键词 随机有限集 多目标跟踪 序列霍夫(Hough)变换 random finite set multi-target tracking sequence Hough transform
作者简介 第一作者:刘文德(2001—),男,天津人,研究方向为水下目标探测;通信作者:聂东虎(1978—),男,辽宁锦州人,博士,副教授,研究方向为水下目标探测与识别。
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