Non-data aided doppler shift estimation for underwater acoustic communication

In this paper, we investigated different methods for blind Doppler shift estimation and compensation for a single carrier in underwater acoustic wireless sensor networks. We analyzed the data collected from our experiments using non-data aided (blind) techniques such as Power Spectrum Analysis, Autocorrelation, and Squaring Time Phase Recovery methods in order to estimate the Doppler shift in collaborative distributed underwater sensor networks. Detailed experimental and simulated results based on second order cyclostationary features of the received signals are presented.