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作 者:唐续[1,2] 吴骐[2] 李明晏[2] 黄大羽 TANG Xu WU Qi LI Mingyan HUANG Dayu(Science and Technology on Avionics Integration Laboratory , Shanghai 200233, China School o f Electronic Engineering ,University of Elecironic Science and Technology of China , Chengdu 611731 , China)
机构地区:[1]航空电子系统综合技术重点实验室,上海200233 [2]电子科技大学电子工程学院,四川成都611731
出 处:《系统工程与电子技术》2017年第7期1493-1499,共7页Systems Engineering and Electronics
基 金:航空电子系统综合技术重点实验室和航空基金联合(20155580007)资助课题
摘 要:针对天波超视距雷达(over-the-horizon radar,OTHR)的信号多路径传播特点,提出一种融合多路径信息的多目标跟踪算法。该算法利用概率多假设跟踪(probabilistic multi-hypothesis tracker,PMHT)算法中量测与目标关联的"软"决策模型优势,并对多路径观测函数显式建模,推导了多路径量测融合处理公式。仿真实验结果表明,相比于标准PMHT算法,所提出算法实现了在低检测概率、高杂波的OTHR环境下对多个目标的更有效跟踪,获得更高的目标状态估计精度和更低的失跟率。Considering the multipath signal propagation in over-the-horizon radar (OTHR) , a mul ti-target tracking algorithm based on the multipath information fusion is proposed. It exploits the merit of the "soft" as-sociation between measurements and targets in probabilistic multi-hypothesis tracker (PMHT) algorithm. By explicitly modeling the multipath measurement function, the resulting fusion formulation is derived. The simu-lation results show that, in the complex scenario of OTHR with low detection probability and dense clutter, the proposed multipath-aided PMHT algorithm notably outperforms the standard PMHT in the mult-target states estimation and the rate of track loss.
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