Two channel estimation techniques are often opposed:training sequence based estimation in which a sequence of symbols known by the receiver is used and blind equalization in which the channel and/or the symbols are determined from the received signal only. The purpose of semi-blind techniques would be to adapt blind techniques in order to pro t from the existence of a training sequence. A rst approach to assess the performance of semi-blind methods is proposed. We study Cramer-Rao Bounds for blind,semi-blind and training-sequence based channel estimates for a deterministic as well as a Gaussian symbol model, and compare them theoretically as well as in numerical evalua- tions. Furthermore, an example of comparison between the v 2. REAL AND COMPLEX CRB corresponding Maximum Likelihood estimation methods is given.
Cramer-rao bounds for semi-blind and training sequence based channel estimation
SPAWC 1997, 1st IEEE signal processing workshop on signal processing advances in wireless communications, April 16-18, 1997, Paris, France
Type:
Conférence
City:
Paris
Date:
1997-04-16
Department:
Systèmes de Communication
Eurecom Ref:
82
Copyright:
© 1997 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.
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PERMALINK : https://www.eurecom.fr/publication/82
