New Sensor Paradigm for Future Combat Systems

Abstract

Highly sensitive and robust sensors are a fundamental component of modern science and engineering; with particular relevance to military applications. Stringent requirements posed by the Future Combat Systems (FCS) on real-time diagnostics from remotely sensed raw data, are only increasing the demand for fast, responsive, and accurate sensors. Basic to all measurement devices are inherent data errors associated with uncertainties and background noise. Turn-key, single-function sensors are designed to provide accuracy and repeatability for a specific, directly measured quantity. However, if these measurements are used to infer other physical quantities, special care must be taken. Indeed, in most applications, data differentiation is applied within the predictive process, sometimes even unbeknown to the user. Unfortunately, upon differentiation, the noise that affects all measured physical quantities is dramatically amplified. Refining the measurement (i.e. increasing the sample density) exacerbates the problem even further, because the increase in accuracy due to finer sampling is wiped out by the cumulative adverse effect of the numerical differentiation. In this paper, we propose the development and implementation of a new, rate-based sensors paradigm that would enhance and secure the US military strength.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 2004
Accession Number
ADA432070

Entities

People

  • J. I. Frankel
  • V. Protopopescu

Organizations

  • University of Tennessee system

Tags

Communities of Interest

  • Biomedical
  • Sensors
  • Weapons Technologies

DTIC Thesaurus Topics

  • Abstracts
  • Accuracy
  • Biomedical Engineering
  • Computer Science
  • Data Sets
  • Detectors
  • Directed Energy Weapons
  • Engineering
  • Errors
  • Heat Energy
  • Heat Flux
  • Materials
  • Materials Engineering
  • Materials Science
  • Measurement
  • Military Applications
  • Noise

Readers

  • Computational Modeling and Simulation
  • Robotics and Automation.
  • Theoretical Analysis.

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference
  • AI & ML - DoD AI Strategy