Design Theory for Chemical Detection

Abstract

This report details a rational, quantitative approach for designing and optimizing sensor arrays for chemical detection. The work demonstrates that the degree to which sensor array capabilities and limitations can be understood is unavoidably linked to the degree to which the underlying response mechanism has been characterized, as well as inextricably linked to specific formulations of sensing task. A mathematical framework for describing chemical sensing tasks is presented and device-agnostic quality metrics based on information theoretic measures are derived and interpreted within the context of this framework. An algorithmic approach for sensor array configuration is presented, and it is demonstrated that the derived quality metrics are amenable to convex optimization. Information-theoretic approaches for quantitatively understanding the impact of uncertain chemical backgrounds on chemical detection systems, characterizing the quality of chemical simulants under realistic conditions, and understanding the underlying chemical expressiveness of a given sensor technology are derived from this framework and discussed.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2020
Accession Number
AD1111377

Entities

People

  • Kevin Johnson
  • Ádám Knapp

Organizations

  • United States Naval Research Laboratory

Tags

Communities of Interest

  • Sensors

DTIC Thesaurus Topics

  • Algorithms
  • Bayesian Networks
  • Chemical Analysis
  • Chemical Compounds
  • Chemical Detectors
  • Chemical Warfare Agents
  • Chemistry
  • Computational Science
  • Cryptography
  • Data Mining
  • Databases
  • Detection
  • Detectors
  • Information Processing
  • Information Science
  • Information Theory
  • Machine Learning
  • Materials Laboratories
  • Materials Science
  • Materials Testing
  • Neural Networks
  • Pattern Recognition
  • Random Variables
  • Signal Processing

Readers

  • Distributed Systems and Data Platform Development
  • Environmental Engineering.
  • Systems Analysis and Design