| 引用本文: | 陶俊勇,温熙森,陶利民.组合导航系统的神经元信息融合模型.[J].国防科技大学学报,2002,24(3):81-85.[点击复制] |
| TAO Junyong,WEN Xisen,TAO Limin.Information Fusion Model of Integrated Navigation System Based on Neurons[J].Journal of National University of Defense Technology,2002,24(3):81-85[点击复制] |
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| 组合导航系统的神经元信息融合模型 |
| 陶俊勇, 温熙森, 陶利民 |
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(国防科技大学 机电工程与自动化学院，湖南 长沙 410073)
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| 摘要: |
| 提出了一种基于神经元状态融合的组合导航系统信息融合模型，给出了神经元融合权重在线自适应学习算法。将该模型应用于车载SINS/GPS组合导航系统，通过仿真计算和实验室静态组合导航实验，验证了该信息融合模型及融合权重在线自适应学习算法在实际应用中的有效性和可行性。 |
| 关键词: 神经元 组合导航系统 信息融合 |
| DOI： |
| 投稿日期：2002-01-08 |
| 基金项目:国家部委基金资助项目(97J9.3.6KG0136) |
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| Information Fusion Model of Integrated Navigation System Based on Neurons |
| TAO Junyong, WEN Xisen, TAO Limin |
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(College of Mechatronics Engineering and Automation, National Univ.of Defense Technology, Changsha 410073, China)
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| Abstract: |
| An information fusion model of integrated navigation system based on neurons is proposed, and also an on-line adaptive training algorithm of the weights of neuron is given. Moreover the fusion model of the SINS/GPS integrated navigation system for vehicle is implemented. The theoretical analysis and laboratory experimental results show that this model and adaptive training algorithm are effective and practical. |
| Keywords: neuron integrated navigation system information fusion |
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