Title :
FIR multichannel identification using weighted cumulant matrix
Author :
Liang, Jing ; Ding, Zhi
Author_Institution :
Dept. of Electr. & Comput. Eng., California Univ., Davis, CA, USA
fDate :
Oct. 29 2000-Nov. 1 2000
Abstract :
Blind identification of FIR multichannel using higher-order statistics (HOS) is investigated. A new linear approach is proposed which generalizes the weighted slices method for single FIR channel estimation. By finding the proper linear combinations, channel response is obtained from the weighted cumulant matrix with Toeplitz structure. This general algorithm works for both single user and multiuser scenario. It relaxes the identification condition of the original method and demonstrates performance improvement.
Keywords :
Toeplitz matrices; higher order statistics; multiuser channels; parameter estimation; transient response; FIR channel estimation; FIR multichannel identification; HOS; MIMO systems; SISO systems; Toeplitz structure; channel response; generalized weighted slices; higher-order statistics; identification condition; linear approach; linear combinations; multiuser channel; performance; single user channel; weighted cumulant matrix; weighted slices method; Closed-form solution; Computational modeling; Finite impulse response filter; Frequency; Gaussian noise; Higher order statistics; MIMO; Signal processing; Transfer functions; Zinc;
Conference_Titel :
Signals, Systems and Computers, 2000. Conference Record of the Thirty-Fourth Asilomar Conference on
Conference_Location :
Pacific Grove, CA, USA
Print_ISBN :
0-7803-6514-3
DOI :
10.1109/ACSSC.2000.911254
