Semi-blind equalization at the symbol rate with application to OFDM
Signal Processing
Cyclostationarity: half a century of research
Signal Processing
Bibliography on cyclostationarity
Signal Processing
EURASIP Journal on Applied Signal Processing
EM-based channel estimation algorithms for OFDM
EURASIP Journal on Applied Signal Processing
Enhancing Channel Estimation in Cognitive Radio Systems by means of Bayesian Networks
Wireless Personal Communications: An International Journal
A forward-backward Kalman filter-based STBC MIMO OFDM receiver
EURASIP Journal on Advances in Signal Processing
Cyclostationary signatures in OFDM-based cognitive radios with cyclic delay diversity
ICC'09 Proceedings of the 2009 IEEE international conference on Communications
Cyclic prefix based enhanced data recovery in OFDM
IEEE Transactions on Signal Processing
IEEE Transactions on Wireless Communications
Expert Systems with Applications: An International Journal
| Hi-index | 35.69 |
Transmitter-induced cyclostationarity has been explored previously as an alternative to fractional sampling and antenna array methods for blind identification of FIR communication channels. An interesting application of these ideas is in OFDM systems, which induce cyclostationarity due to the cyclic prefix. We develop a novel subspace approach for blind channel identification using cyclic correlations at the OFDM receiver. Even channels with equispaced unit circle zeros are identifiable in the presence of any nonzero length cyclic prefix with adequate block length. Simulations of the proposed channel estimator along with its performance in OFDM systems combined with impulse response shortening and Reed-Solomon coding are presented