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
DOI10.1088/1742-6596/1169/1/012009
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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