Doppler Estimation and Correction in Underwater Industrial Internet of Things
Abstract
Emerging industrial applications in underwater settings (e.g. oil and gas, fisheries) are usually based on acoustic signals which suffer significant Doppler effect distortions. Indeed, waves, currents, and tides may cause unintentional transmitter/receiver motion (drifting) as well as changes in the physical properties and spatial variations of the channel itself. In this paper, we study how to correct Doppler effects in JANUS transmissions, a widely used standard for underwater IIoT. In particular, we exploit the JANUS preamble, composed of an m-sequence of 32 pseudo-random symbols, to estimate and compensate the Doppler effect, without requiring any modification to the standard. The proposed method is validated using Watermark simulator.
Event details
- Event
- tc4-2020