DocumentCode :
430970
Title :
An algebraic method for blind FIR channel identification with cumulant matrix decomposition
Author :
Dong, Bai ; Hong, Liu ; Qing-Lin, Liang
Author_Institution :
Inst. of Electron. Eng., Peking Univ., Beijing, China
Volume :
B
fYear :
2004
fDate :
21-24 Nov. 2004
Firstpage :
49
Abstract :
Blind identification of discrete-time single real FIR channel with nonminimum phase is studied in this paper. A new solution to the single real FIR channel is derived by exploiting four-order cumulant matrix of output signals. It relies only on Cholesky decomposition of the cumulant matrix. This method does not require over parametization which poses consistency difficulties. It can be used either as the final channel estimate or as initial point of other algorithms. We present altogether four hypoalgorithms which can be applied alone or combined together to satisfy different practical conditions. The algorithm is robust to low SNR and short data length circumstance and that it is simple and fast.
Keywords :
channel estimation; higher order statistics; matrix algebra; transient response; Cholesky decomposition; algebraic method; blind FIR channel identification; channel estimate; discrete-time single real FIR channel; four-order cumulant matrix; hypoalgorithm; nonminimum phase; Additive noise; Data mining; Finite impulse response filter; Gaussian noise; Linear systems; Matrix decomposition; Robustness; Signal processing; Statistics; Telecommunications;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
TENCON 2004. 2004 IEEE Region 10 Conference
Print_ISBN :
0-7803-8560-8
Type :
conf
DOI :
10.1109/TENCON.2004.1414528
Filename :
1414528
Link To Document :
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