Matrix analysis
Fundamentals of statistical signal processing: estimation theory
Fundamentals of statistical signal processing: estimation theory
Microwave Mobile Communications
Microwave Mobile Communications
EURASIP Journal on Applied Signal Processing
Soft input channel estimation for turbo equalization
IEEE Transactions on Signal Processing - Part I
Minimum mean squared error equalization using a priori information
IEEE Transactions on Signal Processing
Channel estimation using implicit training
IEEE Transactions on Signal Processing
Iterative channel estimation for turbo equalization of time-varying frequency-selective channels
IEEE Transactions on Wireless Communications
IEEE Transactions on Wireless Communications
Frequency domain equalization for single-carrier broadband wireless systems
IEEE Communications Magazine
Residual ISI cancellation for OFDM with applications to HDTV broadcasting
IEEE Journal on Selected Areas in Communications
Throughput analysis of user identification for wireless local area networks
ICICS'09 Proceedings of the 7th international conference on Information, communications and signal processing
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In this paper, we propose a low-complexity iterative joint channel estimation, detection and decoding technique for doubly selective channels. The key to the proposed technique is a segment-by-segment processing strategy under the assumption that the channel is approximately static within a short segment of a data block. Through a virtual zero-padding technique, the proposed segment-by-segment equalization approach inherits the low-complexity advantage of the conventional frequency domain equalization (FDE), but does not need the assistance of guard interval (for cyclic-prefixing or zero-padding), thereby avoiding the spectral and power overheads. Furthermore, we develop a low-complexity bidirectional channel estimator, where the Gaussian message passing (GMP) technique is used to exploit the channel correlation information, and the intermediate channel estimation results in the iterative process are employed to perform inter-tap interference cancellation. Simulation results demonstrate the effectiveness of the proposed detection and channel estimation algorithms.