| 基于神经网络的飞行器测高方案研究 |
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| 引用本文： | 李曼苹,张劲峰.基于神经网络的飞行器测高方案研究[J].系统工程与电子技术,2003,25(7):838-841. |
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| 作者姓名： | 李曼苹 张劲峰 |
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| 作者单位： | 1. 中国工程物理研究院,四川,绵阳,621900
2. 电子科技大学,四川,成都,610054 |
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| 基金项目： | 国防科技预研资金资助课题 |
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| 摘 要： | 介绍了基于统计学飞行器测高方案的特点 ,指出其存在的不足。提出了基于神经网络方法的新思路 ,与传统的方案进行了对比及可行性分析论证 ,并给出了具体的计算方法。最后对某一弹道集合进行了数值仿真。采用神经网络模型训练 ,训练结果通过弹道检验表明 ,此方案较原基于统计学飞行器测高方案具有一定的优越性 ,可用于飞行器测高系统
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| 关 键 词： | 飞行器 加速度积分 延迟时间 神经网络 |
| 文章编号： | 1001-506X(2003)07-0838-04 |
| 修稿时间： | 2002年4月1日 |
The Scheme of Aerocraft's Altimetry Based on Neural Networks |
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| LI Man ping\,ZHANG Jin feng\.The Scheme of Aerocraft''''s Altimetry Based on Neural Networks[J].System Engineering and Electronics,2003,25(7):838-841. |
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| Authors: | LI Man ping\ ZHANG Jin feng\ |
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| Institution: | LI Man ping\+1,ZHANG Jin feng\+2 |
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| Abstract: | The scheme of aerocraft's altimetry based on statistics is introduced, and its shortcoming is pointed out. A new idea based on neural networks is proposed, compared with the traditional ones, its feasibility is demonstrated, and the algorithm is also given. Lastly a numerical simulation on some ballistic trajectories is made, training is performed with neural network models, and the training results are verified by some other ballistic trajectories. The result shows that this scheme is superior to the traditional one which are based on statistics in some aspects, so it's viable to aerocraft's altimetry system. |
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| Keywords: | Aerocraft Acceleration integral Delay time Neural network |
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