Abstract
In this paper, affine precoding is used to investigate the tradeoffs that exist while using the transmitter resources on training versus information symbols. The channel input is a training vector superimposed on a linearly precoded vector of symbols. A block-fading frequency-selective multi-input multi-output (MIMO) channel is considered. To highlight the tradeoffs between training and data symbols, the Fisher information matrix (FIM) is derived under two circumstances: the random parameter vector to be estimated contains 1) only fading channel coefficients and 2) unknown data symbols as well as the channel coefficients. While strategy 1 corresponds to the receiver structure in which the channel is estimated initially and the channel measurement is utilized to retrieve the data symbols, strategy 2 corresponds to the structure in which channel and symbol estimations are performed jointly. The interesting outcome of the study in this paper is that minimizing the channel Cramer-Rao bound (CRB) for strategies 1 and 2 under a total average transmit power constraint leads to different affine precoder design guidelines.
Original language | English (US) |
---|---|
Pages (from-to) | 940-954 |
Number of pages | 15 |
Journal | IEEE Transactions on Signal Processing |
Volume | 54 |
Issue number | 3 |
DOIs | |
State | Published - Mar 2006 |
Externally published | Yes |
Keywords
- Affine precoding
- Bayes estimator
- Block transmission
- Cramer-Rao bound (CRB)
- Fisher information matrix (FIM)
- Multi-input multi-output (MIMO) systems
- Mutual information
- Random parameter estimation
ASJC Scopus subject areas
- Signal Processing
- Electrical and Electronic Engineering