DocumentCode :
2205625
Title :
Adaptive Volterra series model for nonlinear sensor compensation
Author :
Zhuang, Zhemin ; Cao, Qin ; Xiao, Wenhui
Author_Institution :
Dept. of Electr. Eng., Shantou Univ., China
fYear :
2004
fDate :
21-25 June 2004
Firstpage :
192
Lastpage :
194
Abstract :
Combining with the Volterra series model, this paper proposes a novel performance improvement method of nonlinear sensor. Volterra series model, which is considered as a nonlinear filter that can reduce the noise of sensor, presents an effective way for modeling and compensation of nonlinear sensor. The simulation in this paper shows that this scheme can improve the sensor performance effectually. Moreover, the scheme provides nonlinear sensor greater accuracy and environmental suitability.
Keywords :
Volterra series; intelligent sensors; noise; nonlinear filters; performance evaluation; simulation; adaptive Volterra series model; noise reduction; nonlinear filter; nonlinear sensor compensation; Crosstalk; Intelligent sensors; Kernel; Mathematical model; Monitoring; Noise reduction; Nonlinear filters; Polynomials; Table lookup; Working environment noise;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Acquisition, 2004. Proceedings. International Conference on
Print_ISBN :
0-7803-8629-9
Type :
conf
DOI :
10.1109/ICIA.2004.1373349
Filename :
1373349
Link To Document :
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