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多普勒信息辅助的网络化雷达融合检测 被引量:1

Fusion Detection for Networked Radar Aided by Doppler Information
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摘要 相比于单部雷达系统,空间分置的网络化雷达由于空间分集、频率分集等优势,通常具备更优的探测性能。当前基于网络化雷达系统的融合检测方法大多仅依据目标回波幅度信息,未考虑相参雷达系统能够获取的多普勒信息对融合检测的增益。直观地,网络化雷达系统中不同雷达观测到目标的空间位置与径向速度应当满足一定的物理约束,利用该额外信息应当能够提升目标与虚警的可分性。基于此,该文提出了多普勒信息辅助的网络化雷达融合检测算法:首先利用多雷达站对同一目标角度与多普勒速度观测的耦合性构建观测间需要满足的约束不等式组,然后基于运筹学中两阶段法对该不等式组是否有可行解做出判断,进而对目标是否存在做出判决。仿真实验表明,所提算法能够有效提升网络化雷达系统的融合检测性能。同时,该文还针对所提算法分析了雷达布站位置及目标位置对融合检测性能的影响。 Compared with single-radar systems,spatially separated networked radar usually has better detection performance due to its advantages of spatial and frequency diversities.Most of the current fusion detection methods based on networked radar systems only rely on the echo amplitude information of the target without considering the Doppler information that a coherent radar system can obtain to assist detection of targets.Intuitively,the spatial position and radial velocity of a target observed by different radar devices in the networked radar systems should meet certain physical constraints under which the target and false target can be substantially distinguished.Based on this consideration,fusion detection for the networked radar aided by a Doppler information algorithm is proposed in this paper.First,a set of inequalities is constructed based on the coupling between the observation of the same target’s azimuth and Doppler velocity by multiple radar stations.Then,a two-phase method,an algorithm in operational research,is used to judge whether the inequalities have a feasible solution,based on which a judgment is made on whether the target exists.Finally,some simulations are conducted,which show that the proposed algorithm can effectively improve the detection performance of the networked radar system fusion detection.Additionally,the influence of radar station location and target position on the fusion detection performance of the proposed algorithm is analyzed.
作者 高畅 谷丰登 严俊坤 贾天一 刘宏伟 GAO Chang;GU Fengdeng;YAN Junkun;JIA Tianyi;LIU Hongwei(National Key Laboratory of Radar Signal Processing,Xidian University,Xi’an 710071,China)
出处 《雷达学报(中英文)》 EI CSCD 北大核心 2023年第3期500-515,共16页 Journal of Radars
基金 国家自然科学基金(62192714,U21B2006)。
关键词 网络化雷达 融合检测 多普勒信息 两阶段法 Networked radar Fusion detection Doppler information Two-phase method
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