| 环形激光陀螺的神经网络消噪 |
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| 引用本文： | 吕妍红,崔中兴.环形激光陀螺的神经网络消噪[J].传感技术学报,2006,19(1):146-149. |
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| 作者姓名： | 吕妍红 崔中兴 |
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| 作者单位： | 北京航空航天大学仪器与光电工程学院,北京,100083;北京航空航天大学仪器与光电工程学院,北京,100083 |
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| 摘 要： | 分别应用BP神经网络和DRNN网络对处于静止和运动状态下的环形激光陀螺输出信号中的噪声进行了消除,并应用Allan方差方法对消噪前后的陀螺信号进行了对比分析.结果表明使用神经网络对RLG进行消噪是可行的,而DRNN网络作为一种动态网络,其去噪效果及陀螺初始启动时的信号跟踪能力要优于静态BP网络.使用神经网络去噪的方法对研究环形激光陀螺的误差补偿及快速启动是有实际意义的.
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| 关 键 词： | 环形激光陀螺 BP神经网络 DRNN神经网络 噪声消除 |
| 文章编号： | 1005-9490（2006）01-0146-04 |
| 收稿时间： | 2005-03-07 |
| 修稿时间： | 2005年3月7日 |
RLG Noise Elimination by Neural Network |
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| Lu Yan-hong,Cui Zhong-xing.RLG Noise Elimination by Neural Network[J].Journal of Transduction Technology,2006,19(1):146-149. |
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| Authors: | Lu Yan-hong Cui Zhong-xing |
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| Affiliation: | College of Instrument and Opto-Electronic Engineering, Beihang University, Beijing 100083, China |
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| Abstract: | BP networks and DRNN networks are used to eliminate the noise of Ring Laser Gyro in static or in dynamic state. The method of Allan variance is used to analysis the gyro data before and after noise elimination. The results show that neural networks can be used to eliminate the noise of gyro. Dynamic network is prior to static networks in noise elimination and gyro initial signal tracking. The method is meaningful to the research of RLG error compensation and fast start. |
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| Keywords: | ring laser Gyro(RLG) BP networks DRNN networks noise elimination |
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