DocumentCode :
1436131
Title :
A cumulant matrix subspace algorithm for blind single FIR channel identification
Author :
Ding, Zhi ; Liang, Jing
Author_Institution :
Dept. of Electr. & Comput. Eng., California Univ., Davis, CA, USA
Volume :
49
Issue :
2
fYear :
2001
fDate :
2/1/2001 12:00:00 AM
Firstpage :
325
Lastpage :
333
Abstract :
Blind identification of discrete-time single-user FIR channels with nonminimum phase is studied here. Exploiting higher order cumulants of output signals of unknown channels, a new closed-form solution to the FIR channel impulse response is derived. The algorithm is simple and fast. It relies only on nullspace decomposition of some cumulant matrices. This method neither involves the difficult task of iterative global minimization of nonunimodal cost functions, nor does it require overparametrization, which poses consistency difficulties. It can be used either as the final channel estimate or as a good initial point in nonlinear cumulant matching techniques. The application of this identification method is broad and not limited to the use of any fixed-order cumulants. Its application in identifying data communication systems shows great potential and promise
Keywords :
data communication; higher order statistics; identification; matrix algebra; telecommunication channels; transient response; FIR channel impulse response; blind SISO FTR channel estimation; blind single FIR channel identification; channel estimate; closed-form solution; cumulant matrix subspace algorithm; data communication systems; discrete-time single-user FIR channels; fast algorithm; higher order cumulants; nonlinear cumulant matching; nonminimum phase channels; nullspace decomposition; output signals; Closed-form solution; Cost function; Data communication; Finite impulse response filter; Higher order statistics; Iterative algorithms; Matrix decomposition; Nonlinear distortion; Signal processing; Time division multiple access;
fLanguage :
English
Journal_Title :
Signal Processing, IEEE Transactions on
Publisher :
ieee
ISSN :
1053-587X
Type :
jour
DOI :
10.1109/78.902114
Filename :
902114
Link To Document :
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