Journal
IEEE JOURNAL OF OCEANIC ENGINEERING
Volume 40, Issue 4, Pages 775-784Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/JOE.2015.2469895
Keywords
Affine projection sign algorithm (APSA); Doppler compensation; improved-proportionate normalized least mean squares (IPNLMS); interpolation; motion synchronization; normalized least mean squares (NLMS); outliers; recursive least squares (RLS); resampling; sparse equalization
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Several underwater acoustic channels exhibit impulsive ambient noise. As a consequence, communication receivers implemented on the basis of the Gaussian noise assumption may yield poor performance even at moderate signal-to-noise ratios (SNRs). This paper presents a new channel-estimate-based decision feedback equalizer (CEB-DFE) that deals with high platform mobility, exploits any sparse multipath structure, and maintains robustness under impulsive noise. The key component of this DFE is a linear-complexity sparse channel estimator, which has the ability to detect and reject impulses based on two noise models: contaminated Gaussian and symmetric alpha stable (S alpha S). By processing phase-shift keying (PSK) signals from three mobile shallow-water acoustic links, the gain of the proposed receiver over existing equalizers is demonstrated.
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