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基于孪生网络的卫星电磁探测目标跟踪算法

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针对如何提高卫星电测探测目标跟踪的稳定性和精确度问题,为避免繁琐的目标采集过程,提出基于孪生网络的卫星电磁探测目标跟踪算法。首先,建立电磁探测卫星多星调度模型,为电磁探测目标匹配合适的卫星和工作模式,完成目标电磁信号采集;其次,利用孪生网络对目标信号进行训练,通过消除目标信号中干扰的杂波获取目标的电磁特征信息和真实位置信息;最后,采用粒子滤波算法实现卫星电磁探测目标的稳定跟踪。测试结果表明,该算法能有效提高目标跟踪效率,具有较高的稳定性和精确度。
Target Tracking Algorithm for Satellite Electromagnetic Detection Based on Twin Networks
To improve the stability and accuracy of satellite electromagnetic detection target tracking,a twin network based satellite electromagnetic detection target tracking algorithm is proposed to avoid the tedious target acquisition process.Firstly,a multi-satellite scheduling model is established for electromagnetic detection satellites,matching suitable satellites and working modes for electromagnetic detection targets,in order to complete the collection of target electromagnetic signals.Secondly,a twin network is used to train the target signal,obtaining the electromagnetic feature information and true position information of the target by eliminating interfering clutter in the target signal.Finally,a particle filter algorithm is used to achieve stable tracking of satellite electromagnetic detection targets.The test results show that the proposed algorithm can effectively improve the efficiency of target tracking,and has high stability and accuracy.

twin networkssatellite electromagnetic detectiontarget trackingscheduling modelsignal acquisition

王赓

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秦皇岛市人防指挥信息保障中心,河北秦皇岛 066000

孪生网络 卫星电磁探测 目标跟踪 调度模型 信号采集

山东省自然科学基金资助项目

ZR2019JA032

2024

吉林大学学报(信息科学版)
吉林大学

吉林大学学报(信息科学版)

CSTPCD
影响因子:0.607
ISSN:1671-5896
年,卷(期):2024.42(3)
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