Iterative QR Detection for BLAST
Wireless Personal Communications: An International Journal
Joint Detection and Diversity Techniques in CDMA Mobile Radio Systems
Wireless Personal Communications: An International Journal
Wireless Personal Communications: An International Journal
A low-complexity approach to space-time coding for multipath fading channels
EURASIP Journal on Wireless Communications and Networking
Bounds for the Loss in Probability of Correct Classification Under Model Based Approximation
The Journal of Machine Learning Research
Low-complexity iterative receiver for space-time coded signals over frequency selective channels
EURASIP Journal on Applied Signal Processing
WSEAS TRANSACTIONS on COMMUNICATIONS
Parameters effect on block transmission communication systems
DNCOCO'08 Proceedings of the 7th conference on Data networks, communications, computers
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
Performance Tradeoff in Multiuser Equalization for CDMA over Flat Channels
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
Advanced receiver design for quadrature OFDMA systems
EURASIP Journal on Wireless Communications and Networking - Special issue on OFDMA architectures, protocols, and applications
IEEE Transactions on Wireless Communications
Quadrature OFDMA systems based on layered FFT structure
IEEE Transactions on Communications
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In a block transmission system the information symbols are arranged in the form of blocks separated by known symbols. Such a system is suitable for communication over time-dispersive channels subject to fast time-variations, e,g., the HF channel. The known reliable receiver for this system is the nonlinear data-directed estimator (NDDE). This paper presents appropriate equalization methods for this system. A nonstationary innovations representation based on Cholesky factorization is used in order to define a noise whitener and a maximum-likelihood block detector. Also block linear equalizers and block decision-feedback equalizers are derived. For each type we give the zero-forcing and the minimum-mean-squared-error versions. Performance evaluations and comparisons are given. We show that they perform better than conventional equalizers. As compared to the NDDE, the derived block decision-feedback equalizers perform better and are much less complex. Whereas the NDDE uses the Levinson algorithm to solve M/2 Toeplitz systems of decreasing order (where M is the number of symbols per block), the derived equalizers need to process only one Toeplitz system. Moreover, the Schur algorithm, proposed for Cholesky factorization allows us to further reduce the complexity