基于地震动–磁场信息融合的舰船目标跟踪
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作者简介:

马剑飞(1993-),男,博士生,主要从事水下物理场探测和军用目标特性研究。

中图分类号:

U666.1


Ship Target Tracking Based on Information Fusion of Seismic and Magnetic Field
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    摘要:

    舰船目标多为铁磁性材料构成,运动过程中会产生磁、地震动等多物理场信号,针对当前舰船目标的单物理场跟踪性能有限以及跟踪性能易受观测野值影响的问题,基于多节点的地震动信息和磁场信息, 提出了一种鲁棒的地震动–磁场信息融合的跟踪算法。仿真和试验结果表明:此算法能够有效降低异常观测值带来的影响,由于双节点三分量磁场的信息是完备的,地震动信息只能在磁信噪比较低的情况下改善跟踪的性能。

    Abstract:

    Most of ship targets are composed of ferromagnetic materials,which will generate magnetic and seismic signals in the process of moving. Considering the problem that the tracking performance of single physical field is limited and the tracking performance is easily affected by the observed outliers for current ship targets,a robust tracking and positioning algorithm is proposed based on seismic and magnetic field information fusion,and the simulation and the experimental results show that the algorithm can effectively reduce the influence of observed outliers. For the information of the dual-node three-component magnetic field being sufficient,the seismic information can only improve the magnetic tracking performance under the condition of low signal-to-noise ratio.

    参考文献
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马剑飞,颜冰,李宾宾,等.基于地震动–磁场信息融合的舰船目标跟踪[J].数字海洋与水下攻防,2021,4(1):26-31

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  • 在线发布日期: 2021-03-23
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