2019/01/02 by Reza Barazideh, Barazideh, Reza, Wensheng Sun +7
Earth and Planetary Sciences · Engineering · #FOS: Electrical engineering #Power Line Communications and Noise #Signal Processing (eess.SP) #Underwater Acoustics Research #Underwater Vehicles and Communication Systems #electronic engineering #information engineering
paper · pdf · doi:10.48550/arxiv.1901.00464
openalex publication_date 2019/01/02 · openalex created_date 2019/06/27 · openalex updated_date 2026/07/28
Impulsive noise is a major impediment to orthogonal frequency-division multiplexing (OFDM) based underwater acoustic (UWA) communications. In this work, we evaluate the performance of a memoryless analog nonlinear preprocessor (MANP) that is used to mitigate outliers. The proposed MANP exhibits intermittent nonlinearity only in the presence of the impulsive noise and suppresses the power of outliers based on their amplitudes. Since the outliers are distinguishable in the analog domain prior to anti-aliasing filtering, the MANP outperforms its digital counterparts in all scenarios. Experimental results using data collected in an under-ice environment, demonstrate the superior BER performance of our approach relative to classical nonlinear approaches such as blanking and clipping.