Comprehensive Tactical Network State Inference from Incomplete Data

Abstract

The objective of this project is to capitalize on contemporary advances in statistical learning to develop tools for cognitive radio network state acquisition, tracking, and prediction, even under dynamic battlefield operation. The vision is to construct a comprehensive cognition infrastructure, capable to cope with dynamic operating conditions of tactical ad hoc wireless networks, as well as incomplete, corrupt and sporadic data, which reflect the cost and restrictions in acquiring relevant state measurements.

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Document Details

Document Type
Technical Report
Publication Date
Apr 26, 2018
Accession Number
AD1054606

Entities

People

  • Georgios B. Giannakis

Organizations

  • University of Minnesota

Tags

Communities of Interest

  • Autonomy
  • Biomedical
  • C4I
  • Cyber
  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Algorithms
  • Cognitive Radio
  • Communication Networks
  • Compressed Sensing
  • Computational Complexity
  • Computers
  • Data Analysis
  • Detectors
  • Estimators
  • Kernels (Operating System)
  • Network Topology
  • Sensor Networks
  • Signal Processing
  • Social Networks
  • Tactical Networks
  • Wireless Communications
  • Wireless Networks

Readers

  • Distributed Systems and Data Platform Development
  • Irregular Warfare and Special Operations Cyberspace Operations against Adversarial Threats.
  • Traumatic Brain Injury (TBI) and Cognitive Aging in the Guam and Border Populations Affected by Alzheimer's Disease and Tau-Associated Dementias.

Technology Areas

  • AI & ML
  • AI & ML - DoD AI Strategy