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    赵莉萍. MEM模型在多传感器多目标无源定位与跟踪中的应用[J]. 华东理工大学学报(自然科学版), 2001, (5): 527-532.
    引用本文: 赵莉萍. MEM模型在多传感器多目标无源定位与跟踪中的应用[J]. 华东理工大学学报(自然科学版), 2001, (5): 527-532.
    ZHAO Li ping. Application of MEM Models in Locking and Tracking Multiple Random Passive Targets[J]. Journal of East China University of Science and Technology, 2001, (5): 527-532.
    Citation: ZHAO Li ping. Application of MEM Models in Locking and Tracking Multiple Random Passive Targets[J]. Journal of East China University of Science and Technology, 2001, (5): 527-532.

    MEM模型在多传感器多目标无源定位与跟踪中的应用

    Application of MEM Models in Locking and Tracking Multiple Random Passive Targets

    • 摘要: 针对多传感器机动多目标无源定位问题的目标数量多、定位难的特点,采用复合弹性系数神经网络模型对该问题进行建模,并进行组合优化,以期能利用多个传感器较准确地对多个机动目标进行无源定位与跟踪。仿真结果表明该模型能有效地锁定真实目标,当多个目标较分散或较集中时,该模型仍能有效锁定和跟踪。

       

      Abstract: In order to lock and track multiple random passive targets accurately by multi sensors, multiple elastic module is used to construct the model of this problem and optimize it. The model is expected to solve the difficulty of locking because of too many targets. The simulation results show the model can lock targets efficiently, and especially when the targets are decentralized or centralized, this model can also lock and track targets accurately.

       

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