Fundamentals of statistical signal processing: estimation theory
Fundamentals of statistical signal processing: estimation theory
Space-time coded MC-CDMA: blind channel estimation, identifiability, and receiver design
EURASIP Journal on Applied Signal Processing
A comparison of pilot-aided channel estimation methods for OFDMsystems
IEEE Transactions on Signal Processing
Simplified channel estimation for OFDM systems with multiple transmit antennas
IEEE Transactions on Wireless Communications
IEEE Communications Magazine
A simple transmit diversity technique for wireless communications
IEEE Journal on Selected Areas in Communications
Channel estimation for OFDM systems with transmitter diversity in mobile wireless channels
IEEE Journal on Selected Areas in Communications
Wideband code division multiple access
IEEE Journal on Selected Areas in Communications
Bayesian Monte Carlo multiuser receiver for space-time coded multicarrier CDMA systems
IEEE Journal on Selected Areas in Communications
| Hi-index | 0.00 |
In this paper, we address the problem of data-aided channel estimation in an MC-CDMA system with multiple transmitting antennas. First, we take into consideration a method proposed for OFDM with transmit diversity that relies on the frequency correlation of adjacent subchannels. Then, we propose a new method based on the assumption of a channel slowly varying with time. The performance of the two estimators has been evaluated in terms of mean square error (MSE) of channel estimates and bit error rate (BER), considering a different number of active users in the downlink case. We have considered two channels with different frequency selectivity. The results show that in the presence of a frequency selective channel the proposed method outperforms the method based on frequency correlation and it behaves more robustly against multi-user interference.