Physics inspired CS based underwater acoustic channel estimation

Naushad Ansari; Anubha Gupta; Ananya Sen Gupta

doi:10.1109/GlobalSIP.2015.7418369

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Conference proceeding

Physics inspired CS based underwater acoustic channel estimation

Naushad Ansari, Anubha Gupta and Ananya Sen Gupta

2015 IEEE Global Conference on Signal and Information Processing (GlobalSIP), pp.1106-1110

12/2015

DOI: 10.1109/GlobalSIP.2015.7418369

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Abstract

We propose real-time channel tracking for underwater acoustic communications under dynamic sea conditions. The key idea is to employ sophisticated sparse sensing techniques that are cognizant of stable or slowly time-varying channel components against a transient background. Shallow water acoustic channel is generally challenging to track under moderate to rough sea conditions. This is primarily due to non-stationary highly transient elements within the channel delay spread resulting from rapidly fluctuating multipath arrivals from unpredictable surface wave reflections. The proposed channel estimation method exploits two channel characteristics: (i) Inherent sparsity of the time-varying channel in the two-dimensional dual (Fourier) domain; and (ii) Relative dominance of the direct arrival and slowly varying multipath arrivals against the otherwise non-stationary channel impulse response. Specifically, we utilize this apriori information to compressed sensing (CS) framework and thus, achieve channel sensing cognizant of time-frequency localization across significant channel taps. Numerical evidence based on data-driven channel ground truths are presented.

Acoustics

Channel estimation

compressed sensing

Delays

Doppler effect

Fourier transforms

Sensors

Transient analysis

Underwater acoustic channel estimation

Details

Title: Subtitle: Physics inspired CS based underwater acoustic channel estimation
Creators: Naushad Ansari - Indraprastha Institute of Information Technology
Anubha Gupta - Indraprastha Institute of Information Technology
Ananya Sen Gupta - University of Iowa
Resource Type: Conference proceeding
Publication Details: 2015 IEEE Global Conference on Signal and Information Processing (GlobalSIP), pp.1106-1110
DOI: 10.1109/GlobalSIP.2015.7418369
Publisher: IEEE
Language: English
Date published: 12/2015
Academic Unit: Electrical and Computer Engineering
Record Identifier: 9984197320102771

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