Title :
Blind channel identification based on the geometry of the received signal constellation
Author :
Diamantaras, Konstantinos I.
Author_Institution :
Dept. of Informatics, Technol. Educ. Inst. (TEI) of Thessaloniki, Sindos, Greece
fDate :
5/1/2002 12:00:00 AM
Abstract :
We study the geometric properties of the constellation of the points z(k)=[x(k),x(k-1)]T formed by an ISI corrupted M-ary PAM source transmitted through a narrowband channel. We show that in the absence of noise, the convex hull of the constellation contains all the information pertaining to the channel taps. In particular, the edges of the convex hull can be used to recover the channel uniquely (up to the sign). These results provide a set of geometric identifiability conditions leading to a novel clustering-based channel identification algorithm
Keywords :
identification; intersymbol interference; pulse amplitude modulation; telecommunication channels; ISI corrupted M-ary PAM source; blind channel identification; channel recovery; channel taps; clustering-based channel identification algorithm; convex hull; geometric identifiability conditions; geometric properties; intersymbol interference; narrowband channel; received signal constellation geometry; Clustering algorithms; Constellation diagram; Digital communication; Geometry; Hidden Markov models; Higher order statistics; Intersymbol interference; Labeling; Maximum likelihood estimation; Narrowband;
Journal_Title :
Signal Processing, IEEE Transactions on