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
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