The purpose of semi-blind channel identification methods is to exploit the information used by blind methods and the information coming from known symbols. The main focus of this paper is the study of deterministic quadratic semi-blind algorithms which are of particular interest because of their low computational complexity. The associated criteria are formed as a linear combination of a blind and a training sequence based criterion. Through the examples of Subchannel Response Matching and Subspace Fitting based semi-blind criteria, we study how to construct properly such semi-blind criteria and how tochoose the weights of the linear combination. We provide a performance study for these algorithms and give theoretical conditions for the semi-blind performance to be independent of the weights.
Deterministic quadratic semi-blind FIR multichannel estimation : algorithms and performance
ICASSP 2000, 25th IEEE International Conference on Acoustic, Speech and Signal, June 5-9, 2000, Istanbul, Turkey
Type:
Conférence
City:
Istanbul
Date:
2000-06-09
Department:
Systèmes de Communication
Eurecom Ref:
416
Copyright:
© 2000 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
See also:
PERMALINK : https://www.eurecom.fr/publication/416
