| 一种新的机动目标跟踪算法 |
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| 引用本文： | 李泽强,陈龙驹. 一种新的机动目标跟踪算法[J]. 黑龙江电子技术, 2012, 0(2): 101-103,122 |
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| 作者姓名： | 李泽强 陈龙驹 |
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| 作者单位： | [1]二炮指挥学院,武汉430016 [2]空军雷达学院,武汉430019 |
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| 摘 要： | 针对UKF算法精度较高,但计算负担繁重的问题,基于对精度与实时性考虑,提出了UKF与径向基神经网络相结合的模型与机动目标跟踪算法。通过计算机模拟仿真,证明了该算法的可行性。
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| 关 键 词： | 非线性滤波 UKF RBF神经网络 机动目标 |
A new maneuvering target tracking algorithm |
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| LI Ze-qiang,CHEN Long-ju. A new maneuvering target tracking algorithm[J]. , 2012, 0(2): 101-103,122 |
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| Authors: | LI Ze-qiang CHEN Long-ju |
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| Affiliation: | 1(1.The Second-Artillery Command Academy,Wuhan 430016,China; 2.Air Force Radar Academy,Wuhan 430019,China) |
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| Abstract: | Considered the high accuracy of UKF algorithm and the heavy burden,a new model and algorithm that UKF incorporated in RBF neural networks were presented based on the accuracy and the real time.The simulation results show that the algorithm is available. |
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| Keywords: | non-linear filter unscented Kalman tilter RBF neural networks maneuvering target |
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