Title :
The Recognition of Vibration Sensor´s Signals Based on ICA
Author :
Zhu, Yu ; Wu, Ruina ; Li, Aiguo ; He, Shengping
Author_Institution :
Xi´´an Univ. of Sci. & Technol., Xi´´an, China
Abstract :
Vibration sensor´s signals are collected from wireless perimeter intrusion monitoring device named NETCORE-1000 which is developed by our research group. The computer simulation (respectively using four kinds of typical algorithms) for those signals are experimented after the basic model of independent component analysis, independence criterion and the four kinds of typical algorithms are described in this paper. Experimental results show that independent component analysis method has a very strong ability to Blind Source Separation. Thus a new and effective signal processing tool is provided for the study of recognition of intrusion signals in the field of perimeter security.
Keywords :
blind source separation; independent component analysis; security of data; sensors; vibrations; ICA; NETCORE-1000 device; blind source separation; independent component analysis; signal processing tool; vibration sensor signal recognition; wireless perimeter intrusion monitoring device; Biomedical signal processing; Blind source separation; Computerized monitoring; Independent component analysis; Security; Signal processing; Signal processing algorithms; Source separation; Vibration measurement; Wireless sensor networks; Blind Source Separation; Independent Component Analysis; Perimeter Security; Vibration Sensor´s Signals;
Conference_Titel :
Measuring Technology and Mechatronics Automation (ICMTMA), 2010 International Conference on
Conference_Location :
Changsha City
Print_ISBN :
978-1-4244-5001-5
Electronic_ISBN :
978-1-4244-5739-7
DOI :
10.1109/ICMTMA.2010.368