Subspace methods for the blind identification of multichannel FIRfilters
IEEE Transactions on Signal Processing
A semi-blind channel estimation method for multiuser multiantenna OFDM systems
IEEE Transactions on Signal Processing
Training-based MIMO channel estimation: a study of estimator tradeoffs and optimal training signals
IEEE Transactions on Signal Processing
Distributed Space-Time Coding in Wireless Relay Networks
IEEE Transactions on Wireless Communications
On channel estimation and optimal training design for amplify and forward relay networks
IEEE Transactions on Wireless Communications - Part 2
Cooperative diversity in wireless networks: Efficient protocols and outage behavior
IEEE Transactions on Information Theory
Hi-index | 0.00 |
In this paper, we propose a semi-blind channel estimation algorithm for amplify-and-forward (AF) relay networks. The algorithm fits well for the recently developed space-time coding (STC) technique in AF relay network that serves for small size terminal and achieve the transmission diversity. Compared to the optimal training based estimators, e.g., maximum likelihood (ML) or linear minimum mean square (MMSE), the proposed semi-blind approach requires less training for successful channel estimation, or it yields better estimates if the same amount of training is used. The channel ambiguity issue as well as its relationship with the traditional semi-blind method is discussed in detail. We then provide various numerical examples to corroborate the proposed studies.