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Tracking the underwater acoustic channel using two-dimensional frequency sampling
Conference proceeding

Tracking the underwater acoustic channel using two-dimensional frequency sampling

Ananya Sen Gupta, Naushad Ansari and Anubha Gupta
2015 IEEE Underwater Technology (UT), pp.1-5
02/2015
DOI: 10.1109/UT.2015.7108275

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Abstract

Rapidly fluctuating multipath arrivals along with unpredictable surface wave focusing events render the shallow water acoustic channel difficult to track using sparse or least-squared error (LSE) optimization techniques. This fundamental bottleneck is primarily due to the time-varying nature of the underlying distribution. In this work, we propose a complementary channel tracking technique that exploits the dual representation of the acoustic channel in the Fourier domain and employs two-dimensional frequency sampling using an application-inspired input dictionary. Specifically, we reformulate the time-varying channel tracking problem on a MIMO framework and design training symbols that sample the channel in its dual Fourier domain. Ground truths based on experimental field data are presented.
channel estimation Doppler Interference MIMO Monitoring Noise measurement System-on-chip underwater acoustics

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