Adaptive filter theory (2nd ed.)
Adaptive filter theory (2nd ed.)
Numerically stable fast transversal filters for recursive leastsquares adaptive filtering
IEEE Transactions on Signal Processing
Sparse Channel Estimation with Zero Tap Detection
IEEE Transactions on Wireless Communications
Underwater acoustic communication channels: propagation models and statistical characterization
IEEE Communications Magazine
Fuzzy c-means clustering based robust and blind noncoherent receivers for underwater sensor networks
WASA'10 Proceedings of the 5th international conference on Wireless algorithms, systems, and applications
Hybrid time-frequency domain equalization for single-carrier underwater acoustic communications
Proceedings of the Seventh ACM International Conference on Underwater Networks and Systems
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For underwater acoustic channels where multipath spread is measured in tens of symbol intervals at high transmission rates, multichannel equalization required for bandwidth-efficient communications may become prohibitively complex for real-time implementation. To reduce computational complexity of signal processing and improve performance of data detection, receiver structures that are matched to the physical channel characteristics are investigated. A decision-feedback equalizer is designed which relies on an adaptive channel estimator to compute its parameters. The channel estimate is reduced in size by selecting only the significant components, whose delay span is often much shorter than the multipath spread of the channel. Optimal coefficient selection (sparsing) is performed by truncation in magnitude. This estimate is used to cancel the post-cursor ISI prior to linear equalization. Spatial diversity gain is achieved by a reduced-complexity pre-combining method which eliminates the need for a separate channel estimator/equalizer for each array element. The advantages of this approach are reduction in the number of receiver parameters, optimal implementation of sparse feedback, and efficient parallel implementation of adaptive algorithms for the pre-combiner, the fractionally-spaced channel estimators and the short feedforward equalizer filters. Receiver algorithm is applied to real data transmitted at 10 kbps over 3 km in shallow water, showing excellent results.