PROJECT TITLE :
Robust Equalization of Mobile Underwater Acoustic Channels
Several underwater acoustic channels exhibit impulsive ambient noise. As a consequence, communication receivers implemented on the idea of the Gaussian noise assumption may yield poor performance even at moderate signal-to-noise ratios (SNRs). This paper presents a brand new channel-estimate-primarily based call feedback equalizer (CEB-DFE) that deals with high platform mobility, exploits any sparse multipath structure, and maintains robustness beneath impulsive noise. The key component of this DFE could be a linear-complexity sparse channel estimator, which has the ability to detect and reject impulses primarily based on two noise models: contaminated Gaussian and symmetric alpha stable (SαS). By processing part-shift keying (PSK) signals from 3 mobile shallow-water acoustic links, the gain of the proposed receiver over existing equalizers is demonstrated.
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