Time-frequency modeling and estimation of wireless OFDM channels
ICCOMP'05 Proceedings of the 9th WSEAS International Conference on Computers
Fractionally-sampled blind channel estimation for a mobile communication system
Mobility '08 Proceedings of the International Conference on Mobile Technology, Applications, and Systems
Enhancing Channel Estimation in Cognitive Radio Systems by means of Bayesian Networks
Wireless Personal Communications: An International Journal
A Novel Technique for Channel Estimation and Equalization for High Mobility OFDM Systems
Wireless Personal Communications: An International Journal
Non-redundant precoding and PAPR reduction in MIMO OFDM systems with ICA based blind equalization
IEEE Transactions on Wireless Communications
IEEE Transactions on Wireless Communications
Independent component analysis based semi-blind I/Q imbalance compensation for MIMO OFDM systems
IEEE Transactions on Wireless Communications
A precoded OFDMA system with user cooperation
EURASIP Journal on Wireless Communications and Networking - Special issue on theoretical and algorithmic foundations of wireless ad hoc and sensor networks
Analysis of physical layer performance of IEEE 802.11a in an ad hoc network environment
MILCOM'03 Proceedings of the 2003 IEEE conference on Military communications - Volume II
Channel estimation for wireless OFDM communication systems
SIP'06 Proceedings of the 5th WSEAS international conference on Signal processing
A novel subspace-based semi-blind channel estimation scheme for MIMO ZP-OFDM systems
IScIDE'11 Proceedings of the Second Sino-foreign-interchange conference on Intelligent Science and Intelligent Data Engineering
Blind Frequency Ambiguity Resolution in OFDM Systems Using a Linear Precoder
Wireless Personal Communications: An International Journal
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A novel approach of blind channel estimation for orthogonal frequency-division multiplexing (OFDM) systems is proposed. A linear transformation is applied on each block before it enters the OFDM system. The transform imposes a correlation structure on the transmitted blocks, which is exploited at the receiver to recover the channel via simple cross-correlation operations. The proposed approach is computationally simple and converges fast, which makes it a good candidate for estimation of fast-varying channels. Its performance is tested analytically, through a mean-square error analysis, and also via simulations. Results show that it compares favorably to the training-based scheme used in the IEEE 802.11a wireless standard.