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作 者:Jiaqi ZHANG Haihong TAO Xiushe ZHANG Chunlei HAN
机构地区:[1]State Key laboratory of Radar Signal Processing,Xidian University,Xi’an 710068,China [2]Xi’an Research Institute of Navigation Technology,Xi’an 710071,China
出 处:《Chinese Journal of Aeronautics》2022年第5期87-96,共10页中国航空学报(英文版)
基 金:supported by the Innovation Project of Science and Technology Commission of the Central Military Commission,China(No.19-HXXX-01-ZD-006-XXX-XX)。
摘 要:In this paper,a novel multi-frame track-before-detect algorithm is proposed,which is based on root label clustering to reduce the high computational complexity arising by observation area expansion and clutter/noise density increase.A criterion of track extrapolation is used to construct state transition set,root label is marked by state transition set to obtain the distribution information of multiple targets in measurement space,then measurement plots of multi-frame are divided into several clusters,and finally multi-frame track-before-detect algorithm is implemented in each cluster.The computational complexity can be reduced by employing the proposed algorithm.Simulation results show that the proposed algorithm can accurately detect multiple targets in close proximity and reduce the number of false tracks.
关 键 词:Multi-frame track-before-detect Multiple targets detection Root label clustering State transition set Track extrapolation
分 类 号:E926.4[军事—军事装备学] TP391.41[兵器科学与技术—武器系统与运用工程]
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