Biasing Emitter Location Estimates Via False Location Infection

Abstract

We consider the problem of a rogue introducing bias into a network estimating location under the time difference of arrival (TDOA) method. In particular we consider how a rogue by injecting only a single false sensor position can drive the network's location estimate a specified distance away from the true value. The least squares (LS) residuals is minimized to find the false location to inject given the rogue s desired distance offset. In order to illustrate the success of our method, we consider the statistical tools that the locating network might employ to handle our false information injection including least squares and in the presence of outliers robust least median squares (LMS). We show that our method can successfully bias the location estimate of an estimating network when both LS and LMS methods are used.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 2011
Accession Number
ADA553740

Entities

People

  • Lauren M. Huie
  • Mark L. Fowler

Organizations

  • Air Force Research Laboratory

Tags

Communities of Interest

  • Sensors

DTIC Thesaurus Topics

  • Accuracy
  • Air Force
  • Air Force Research Laboratories
  • Algorithms
  • Detectors
  • Errors
  • Estimators
  • Geometry
  • Information Operations
  • Measurement
  • Military Research
  • Networks
  • New York
  • Residuals
  • Sensor Networks
  • Signal Processing
  • Two Dimensional

Fields of Study

  • Mathematics

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Cybersecurity.
  • Regression Analysis.