Adaptive Distributed Multi Sensor Detection Using Information Elasticity Approach

Abstract

It is believed that better and more effective decisions can be made in radar sensor processing if more information is available. However, this is not always the case since due to the problem of information overload. The concept of information elasticity is useful in determining the relationship and role of information, qualitatively and quantitatively, to its interactions with the surroundings. While Shannons theory describes information in quantitative terms by assigning information value based on event probabilities, in many instances, information obtained can only be described in fuzzy and qualitative terms. In this project, we apply the concept of information elasticity to radar system performance for various scenarios.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Jan 22, 2020
Accession Number
AD1106224

Entities

People

  • Andrew Z. Liu
  • Paul G. Singerman
  • Ram M Narayanan

Organizations

  • Pennsylvania State University

Tags

Communities of Interest

  • C4I
  • Human Systems
  • Materials and Manufacturing Processes
  • Sensors

DTIC Thesaurus Topics

  • Air Force Research Laboratories
  • Climate Change
  • Cognition
  • Computational Science
  • Detection
  • Detectors
  • Electrical Engineering
  • Environmental Protection
  • Information Operations
  • Information Overload
  • Information Processing
  • Information Science
  • Network Science
  • Radar
  • Sensor Networks
  • Signal Processing
  • Waveforms

Readers

  • Calculus or Mathematical Analysis
  • Sensor Fusion and Tracking Systems.
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.