Extraction of Disturbance Signals Based on the Inertial Sensor with a Blind Source Separation Method | |
Hu, T.T.1,2,3; Bao, Q.L.1,2; Xia, Y.X.1,2; Luo, Y.1,2 | |
2019-03-14 | |
会议日期 | November 16, 2018 - November 18, 2018 |
会议地点 | Sanya, China |
卷号 | 1169 |
期号 | 1 |
DOI | 10.1088/1742-6596/1169/1/012009 |
英文摘要 | The inertial sensor is a key component in the photoelectric tracking system mounted on the moving platform, and its disturbance information extraction is a prerequisite for decoupling the system disturbance. In this paper, to get the specific signal of fs Hz, firstly, source signal of 2xfs Hz from the inertial sensor is needed. Then, single channel signal with frequency 2xfs is constructed into 2 aliased signals with the frequency of fs by down-sampling. Finally, a BSS (Blind Source Separation, BSS) algorithm is used to extract the disturbance signal in the aliased signals. Simulation results of ship borne data show that the algorithm can accurately extract the high-frequency disturbance signal of about 33 Hz in the aliased signals. The experimental results of the platform prove that the spectrum of the disturbance signal (10 Hz) and the spectrum of the target signal (0.1 Hz) do not overlap each other, and the correlation coefficient between the perturbation signal and the perturbation source signal is as high as 0.9976, which means the extraction of disturbance signal in the inertial sensor signals is realized. © 2019 Institute of Physics Publishing. All rights reserved. |
会议录 | Journal of Physics: Conference Series |
会议录出版者 | Institute of Physics Publishing |
文献子类 | 会议论文 |
语种 | 英语 |
ISSN号 | 1742-6588 |
内容类型 | 会议论文 |
源URL | [http://ir.ioe.ac.cn/handle/181551/9593] |
专题 | 光电技术研究所_光电工程总体研究室(一室) |
作者单位 | 1.Key Laboratory of Optical Engineering, Chinese Academy of Sciences, Chengdu; 610209, China 2.Institute of Optics and Electronics, Chinese Academy of Sciences, Chengdu; 610209, China; 3.University of Chinese Academy of Sciences, Beijing; 101400, China; |
推荐引用方式 GB/T 7714 | Hu, T.T.,Bao, Q.L.,Xia, Y.X.,et al. Extraction of Disturbance Signals Based on the Inertial Sensor with a Blind Source Separation Method[C]. 见:. Sanya, China. November 16, 2018 - November 18, 2018. |
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