DocumentCode :
876180
Title :
Blind identification of FIR systems excited by discrete-alphabet inputs
Author :
Yellin, Daniel ; Porat, Boaz
Author_Institution :
Dept. of Electr. Eng.-Syst., Tel Aviv Univ., Israel
Volume :
41
Issue :
3
fYear :
1993
fDate :
3/1/1993 12:00:00 AM
Firstpage :
1331
Lastpage :
1339
Abstract :
An algorithm for the identification of finite-impulse-response (FIR) system parameters from output measurements, for systems excited by discrete-alphabet inputs, is described. The approach taken is algebraic. It does not rely directly on the statistical properties of the measurements, but rather it essentially solves the nonlinear equations appearing in the problem by converting them to equivalent linear equations, using the discrete-alphabet property of the input signal. The proposed algorithm was tested by computer simulations and some of these simulations are illustrated
Keywords :
nonlinear equations; parameter estimation; signal processing; statistical analysis; FIR systems; algebraic approach; blind identification; computer simulations; discrete-alphabet inputs; linear equations; nonlinear equations; parameter estimation; statistical analysis; Computer simulation; Digital communication; Finite impulse response filter; Gaussian noise; Linear systems; Nonlinear equations; Signal processing; Signal processing algorithms; Statistics; Testing;
fLanguage :
English
Journal_Title :
Signal Processing, IEEE Transactions on
Publisher :
ieee
ISSN :
1053-587X
Type :
jour
DOI :
10.1109/78.205733
Filename :
205733
Link To Document :
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