| 神经网络辅助卡尔曼滤波技术在组合导航系统中的应用研究 |
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| 引用本文： | 白宇骏,徐晓苏,刘国燕.神经网络辅助卡尔曼滤波技术在组合导航系统中的应用研究[J].中国惯性技术学报,2003,11(2):40-43. |
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| 作者姓名： | 白宇骏 徐晓苏 刘国燕 |
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| 作者单位： | 东南大学仪器科学与工程系,南京,210096 |
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| 摘 要： | 考虑到组合导航系统的噪声具有非先验性，而传统的卡尔受滤波器要求假设动态模型和观测模型的噪声统计特性已知，提出了用前向神经网络来辅助调节卡尔受滤波器，使其具有自适应能力以应付动态环境的扰动。仿真研究表明：该算法优于标准卡尔曼滤波器。
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| 关 键 词： | 组合导航 卡尔曼滤波 神经网络 信息融合 噪声统计 传感器 |
| 文章编号： | 1005-6734(2003)02-0040-04 |
| 修稿时间： | 2003年1月13日 |
Applications of Neural Network-aided Kalman Filtering Technique in Integrated Navigation System |
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| BAI Yu-jun,XU Xiao-su,LIU Guo-yan.Applications of Neural Network-aided Kalman Filtering Technique in Integrated Navigation System[J].Journal of Chinese Inertial Technology,2003,11(2):40-43. |
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| Authors: | BAI Yu-jun XU Xiao-su LIU Guo-yan |
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| Abstract: | The problem of integrated navigation system with uncertain noise is considered. The conventional Kalman filter assumes that the statistical properties of the noise in dynamic model and observation system are exactly known. The paper presents a method, which uses neural network-aided Kalman filtering scheme for the adaptive capability to deal with the disturbance in dynamic situation. The simulation study shows that the arithmetic is better than that of standard Kalman filtering. |
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| Keywords: | integrated navigation Kalman filtering neural network aiding information fusion |
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