| 一种基于BP神经网络的机动目标跟踪算法 |
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| 引用本文： | 刘国栋.一种基于BP神经网络的机动目标跟踪算法[J].舰船电子工程,2012(7):45-47. |
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| 作者姓名： | 刘国栋 |
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| 作者单位： | 海军驻上海地区舰炮系统军事代表室 |
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| 摘 要： | 交互式多模型（IMM）算法是一种可以有效跟踪机动目标的滤波算法,针对其跟踪精度和计算量在很大程度上受制于模型选择和转移概率确定的问题,提出了一种利用BP神经网络修正子模型滤波结果的改进IMM算法。仿真实验表明,该方法可以使IMM算法的收敛速度加快,收敛精度提高,改善了跟踪性能,具有一定理论指导意义。
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| 关 键 词： | 机动目标 目标跟踪 交互式多模型 BP神经网络 |
A Maneuvering Target-Tracking Algorithm Based on the BP Neural Network |
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| LIU Guodong.A Maneuvering Target-Tracking Algorithm Based on the BP Neural Network[J].Ship Electronic Engineering,2012(7):45-47. |
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| Authors: | LIU Guodong |
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| Institution: | LIU Guodong(Bureau of Military Representatives at Shanghai Areas,Naval Dept.of Equip.,Shanghai 200135) |
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| Abstract: | The IMM algorithm is a kind of filter that can track the target effectively.Aiming at the problem that it will under the tracking precision and transfer probability thumb,this paper proposed a method that using BP Neural Network to amend the submodel filtering result.Simulation shows that this method can improve the convergency velocity and convergency precision,which has some theory significance. |
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| Keywords: | maneuvering target target tracking interactive multiple models BP Neural Network |
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