NICOP - Data Analytics for Electromagnetic Signals of Opportunities in Ambient of Objects over Heterogeneous Surface
Abstract
We attempt to investigate the spatio-temporal distribution patterns ofelectromagnetic signals of opportunities in ambient of object"s overheterogeneous surface, where signals of opportunities include GPS, GNSS,analog and digital radio, cellular phone, TV, and ot"her non-cooperative sources.The diffusion and Doppler spreading effects due to the heterogeneous surfaceand its interactions with objects sitting above it are simulated by physicalmodeling and numerical simulation. The electromagnetic signals in suchcomplex e"nvironment is even more complex itself in the sense of big data.Namely, it has big volume, is fast data streaming (velocity), is fr""om varioussources (variety), and poses uncertainty (veracity).The heterogeneous surface under investigation is a statistically sta""tionary,geometrically anisotropic time-varying rough surface. Modelling of suchsurface structure will be attempted by means of sur"face spectrum with extrawide bandwidth. The signals of opportunities from sources stated above entailpolarization and frequency dependences. Coupling of such signals with theheterogeneous surface will be explicated by understanding the scatteringbehaviour such as polarization matching and frequency resonance.The approach is novel in that the electromagnetic signal of opportunities istreated as a big data problem. High performance deep learning machine willalso be explored in tackling the information evaluation and r"etrieval in thecontext of data analytics involving logical, probabilistic and vector spacemodeling as followed by two stages: desc"riptive and predictive modeling
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Dec 20, 2017
- Source ID
- N629091812035
Entities
People
- Hirokazu Kobayashi
Organizations
- Office of Naval Research
- Osaka Institute of Technology
- United States Navy