An Investigation of a Dynamic Sensor Motion Strategy

Abstract

This paper considers a dynamic sensor coverage problem in which a single mobile sensor attempts to monitor multiple sites. Sensor motion is modeled using a discrete time, discrete state Markov process. State dynamics at each site are modeled as a linear system. A stochastic simulation is used to demonstrate previously derived theoretical conditions under which a single sensor is or is not sufficient to maintain a bounded estimate of the state of every site. Observations are made about the relationship of sensor motion to system dynamics. A strategy is presented to find a good sensor motion model based upon the system dynamics and to determine the convexity of the solution set.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 2006
Accession Number
ADA460850

Entities

People

  • Abhishek Tiwari
  • David E. Jeffcoat
  • Nathan P. Yerrick

Organizations

  • Air Force Research Laboratory

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Air Force
  • Air Force Research Laboratories
  • Algorithms
  • Covariance
  • Detection
  • Detectors
  • Dynamics
  • Equations
  • Filters
  • Kalman Filters
  • Markov Chains
  • Markov Processes
  • Military Research
  • Monte Carlo Method
  • Probability
  • Simulations
  • Steady State

Readers

  • Control Systems Engineering.
  • Mathematical Modeling and Probability Theory.
  • Optical Fiber Sensing and Electromagnetic Propagation.