Robust Shallow Water Channel Estimation, Modeling and Multi-scale Communications Using Geometric Encoding and Signal Processing Techniques
Abstract
We aim to address the shallow water communications challenge at the nexus of signal processing, pattern discovery, and underwater ac""oustic propagation physics. Our goal is to exploit the diversity of scale across time, frequency and sparsity of different oceanic p"henomena to securely communicate information with different degrees of sensitivity in the shallow water paradigm. Oceanic phenomena of interest include but are not limited to multipath channel effects due to time-varying specular reflections from the moving sea s"urface, a range of diverse reflections from the static sea bottom, as well as transient high-energy events due to surface wave focus""ing, fluid motion, etc. Accordingly, we will pursue three related aims: (i) Harness signal processing techniques to model and locali""ze the channel at multiple scales of resolution across time, frequency and sparsity (e.g. high-energy focusing transients vs. slowly" varying diffused acoustic scatter); (ii) Discover features of diverse oceanic phenomena through geometric pattern discovery; and (iii) Design multi-scale signal encoding techniques that enable communications of different degrees of covertness over different ~chan"nels~, each channel encoded with a feature dictionary localizing shallow water acoustic propagation at the chosen scale.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Jan 23, 2018
- Source ID
- N000141812081
Entities
People
- Ananya Sen Gupta
Organizations
- Office of Naval Research
- United States Navy
- University of Iowa