Abstract

Acoustic underwater channels are very challenging, because of limited bandwidth, long propagation delays, extended multipath, severe attenuation, rapid time variation and large Doppler shifts. A plethora of underwater communication techniques have been developed for dealing with such a complexity, mostly tailoring specific applications scenarios which can not be considered as one-size-fits-all solutions. Indeed, the design of environment-specific solutions is especially critical for modulations with high spectral efficiency, which are very sensitive to channel characteristics. In this paper, we design and implement a software-defined modem able to dynamically estimate the acoustic channel conditions, tune the parameters of a OFDM modulator as a function of the environment, or switch to a more robust JANUS/FSK modulator in case of harsh propagation conditions. The temporal variability of the channel behavior is summarized in terms of maximum delay spread and Doppler spread. We present a very efficient solution for deriving these parameters and discuss the limit conditions under which the OFDM modulator can work. In such scenarios, we also calibrate the prefix length and the number of sub-carriers for limiting the inter-symbol interference and signal distortions due to the Doppler effect. We validate our estimation and adaptation techniques by using both a custom-made simulator for time-varying underwater channels and the well-known Watermark simulator, as well as real in field experiments. Our results show that, for many practical cases, a dynamic adjustment of the prefix length and number of sub-carriers may enable the utilization of OFDM modulations in underwater communications, while in harsher environments JANUS can be used as a fall-back modulation.

Highlights

  • The past three decades have seen a growing interest in underwater acoustic communications, with the rise of new underwater applications such as remote control in the off-shore oil industry, pollution monitoring in environmental systems, collection of scientific data from ocean-bottom stations, disaster detection and early warning, national security and defense, e.g. intrusion detection and underwater surveillance

  • Sound speed profiles due to the heterogeneous water salinity increases the number of potential reflections, while surface waves, internal turbulence, fluctuations in the sound speed at different depths, and other small-scale phenomena contribute to random signal variations, which may

  • Mangione et al.: Channel-Aware Adaptive Modem for Underwater Acoustic Communications strongly vary from one environment to another

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Summary

A Channel-Aware Adaptive Modem for Underwater Acoustic Communications

STEFANO MANGIONE 1,2,3, (Member, IEEE), GIOVANNI ETTORE GALIOTO 1,3, DANIELE CROCE 1,2,3,4, ILENIA TINNIRELLO 1,2,3, AND CHIARA PETRIOLI 3,4, (Fellow, IEEE).

INTRODUCTION
OFDM MODEM
SOUNDING SEQUENCES FOR CHANNEL PROBING
LOW COMPLEXITY CHANNEL ESTIMATION
CHANNEL SPREADING PARAMETER ESTIMATION
ANALYSIS OF EXEMPLARY UNDERWATER CHANNELS
AD-HOC TIME-VARYING CHANNELS
OFDM MODULATOR PERFORMANCE
Findings
VIII. CONCLUSION
Full Text
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