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作 者:张逸宸 水鹏朗[1] 廖沫 ZHANG Yichen;SHUI Penglang;LIAO Mo(National Key Laboratory of Radar Signal Processing,Xidian University,Xi’an 710071,China)
机构地区:[1]西安电子科技大学雷达信号处理全国重点实验室,陕西西安710071
出 处:《西安电子科技大学学报》2023年第5期1-10,共10页Journal of Xidian University
基 金:国家自然科学基金(62071346,61871303)。
摘 要:由于复杂的海洋环境和近海稠密的海面目标,海用雷达常面临高虚警率、高目标密度的“双高”跟踪场景。来源于海杂波和多个邻近目标的量测点在探测空间中密集出现,传统的跟踪方法仅利用单帧量测的位置信息不能很好区分量测的具体来源,导致跟踪性能严重下降。利用目标回波特征信息可以在不提高算法复杂度的情况下弥补上述缺陷,但目标回波特征的泛化能力较弱,需要针对不同的雷达体制、工作场景及探测需求,因地制宜地选择适合的目标回波特征。以探测大中小型船只为任务的高分辨对海警戒雷达为应用背景,采用检验统计量和目标径向速度量测作为目标回波特征,重构了跟踪方程使得目标回波特征的信息被充分应用于关联、滤波和航迹管理等跟踪的各个环节。此外,采用了一种“两级”跟踪流程,依据航迹质量划分确认航迹和候选航迹,串联跟踪目标并交互信息,有助于跟踪难以形成持续稳定检测的非机动海面小目标。实测和仿真数据实验结果表明,在海面复杂的多目标场景中,所提方法可以实现稳健的目标跟踪。Due to the complex marine environment and the dense sea-surface targets,radars often face the tough tracking scenarios with a high false alarm rate and high target density.The measurement points originating from clutter and multiple closely-spaced targets appear densely in the detection space.The traditional tracking methods only use the position information,which cannot distinguish the specific source of the measurement well,resulting in serious degradation of the tracking performance.Target returns features can be used to solve the problem without increasing the complexity of the algorithm,but the generalization ability of the features is low.It is necessary to select suitable features according to different radar systems,working scenes and requirements.In this paper,the test statistic and the target radial velocity measurement are used as the target returns features,and the tracking equation is reconstructed so that features can be fully applied in all aspects of tracking.In addition,this paper adopts a"two-level"tracking process,which divides track and candidate track according to track quality.Experimental results show that the proposed method can achieve robust target tracking in the complex multi-target scenarios on the sea surface.
关 键 词:特征辅助跟踪 目标跟踪 海杂波 目标回波特征 跟踪系统
分 类 号:TN820.4[电子电信—信息与通信工程]
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