DocumentCode :
1056958
Title :
FIR system identification based on subspaces of a higher order cumulant matrix
Author :
Srinivas, L. ; Hari, K.V.S.
Author_Institution :
Centre for Dev. of Telematics, Bangalore, India
Volume :
44
Issue :
6
fYear :
1996
fDate :
6/1/1996 12:00:00 AM
Firstpage :
1485
Lastpage :
1491
Abstract :
A new linear algebraic approach for identification of a nonminimum phase FIR system of known order using only higher order (>2) cumulants of the output process is proposed. It is first shown that a matrix formed from a set of cumulants of arbitrary order can be expressed as a product of structured matrices. The subspaces of this matrix are then used to obtain the parameters of the FIR system using a set of linear equations. Theoretical analysis and numerical simulation studies are presented to characterize the performance of the proposed methods
Keywords :
FIR filters; higher order statistics; matrix algebra; parameter estimation; FIR system identification; higher order cumulant matrix; linear algebraic approach; linear equations; nonminimum phase FIR system; output process; performance; structured matrices; subspaces; Autocorrelation; Closed-form solution; Equations; Finite impulse response filter; Linear algebra; Numerical simulation; Optimization methods; Parameter estimation; Performance analysis; System identification;
fLanguage :
English
Journal_Title :
Signal Processing, IEEE Transactions on
Publisher :
ieee
ISSN :
1053-587X
Type :
jour
DOI :
10.1109/78.506613
Filename :
506613
Link To Document :
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