DocumentCode
3167757
Title
The problem of prediction methods for time-domain blind identification of multichannel FIR filters
Author
Xu, YiLing ; Peng, Qicong
Author_Institution
Inst. of Commun. & Inf. Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
Volume
2
fYear
2002
fDate
29 June-1 July 2002
Firstpage
881
Abstract
The concept of linear estimation for SIMO systems was first presented by D. Slock (see Proc. 1994 IEEE ICASSP, vol.IV, p.585-8, 1994; Proc. 1994 Asilomar Conf. on Signals, Systems and Computers, p.1154-8, 1994). Later, a linear prediction channel identification algorithm was developed by K. Abed-Meraim et al. (see Proc. 1995 IEEE ICASSP, p.1968-71, 1995). This blind channel identification algorithm uses only second order statistics, so it is a breakthrough in this field and has been cited frequently by others. But the simulation of the algorithm developed by Abed-Meraim et al. shows that the channel could not be identified because there is still needed another condition, which could not be obtained for knowing nothing about the channel in the whole blind condition.
Keywords
FIR filters; channel estimation; equalisers; estimation theory; prediction theory; statistical analysis; time-domain analysis; SIMO systems; blind identification; channel equalization; linear estimation; linear prediction channel identification algorithm; multichannel FIR filters; multichannel filters; prediction methods; second order statistics; time-domain; Finite impulse response filter; Higher order statistics; Information filtering; Information filters; Nonlinear filters; Polynomials; Prediction algorithms; Prediction methods; Time domain analysis; White noise;
fLanguage
English
Publisher
ieee
Conference_Titel
Communications, Circuits and Systems and West Sino Expositions, IEEE 2002 International Conference on
Print_ISBN
0-7803-7547-5
Type
conf
DOI
10.1109/ICCCAS.2002.1178929
Filename
1178929
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