DocumentCode :
2782151
Title :
Adaptive linearization schemes for weakly nonlinear systems using adaptive linear and nonlinear FIR filters
Author :
Gao, XiangYang ; Snelgrove, W. Martin
Author_Institution :
Dept. of Electr. Eng., Toronto Univ., Ont., Canada
fYear :
1990
fDate :
12-14 Aug 1990
Firstpage :
9
Abstract :
Three adaptive linearization schemes are proposed. In the first scheme, linearization is performed by canceling nonlinearity at the output of a physical system. In the second, a nonlinear postprocessor is employed to postdistort signals. In the third, a preprocessor is used. The schemes using a postprocessor and a preprocessor are designed for weakly nonlinear systems, whereas the scheme of linearization by cancellation at the output can be applied to problems with stronger nonlinearities. In all three methods, necessary estimates of linear and nonlinear operators are provided by adaptive linear and nonlinear filters. Typical simulation results for a physical system modeled by a Volterra series with a linear term, a quadratic term, and a cubic term are presented and are judged encouraging
Keywords :
adaptive filters; digital filters; series (mathematics); Volterra series; adaptive filters; adaptive linearization schemes; cubic term; digital filters; linear FIR filters; nonlinear FIR filters; nonlinear postprocessor; quadratic term; weakly nonlinear systems; Adaptive filters; Adaptive systems; Feedback; Finite impulse response filter; Linearity; Nonlinear distortion; Nonlinear filters; Nonlinear systems; Optical distortion; Optical filters;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Circuits and Systems, 1990., Proceedings of the 33rd Midwest Symposium on
Conference_Location :
Calgary, Alta.
Print_ISBN :
0-7803-0081-5
Type :
conf
DOI :
10.1109/MWSCAS.1990.140639
Filename :
140639
Link To Document :
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