Development of a Model and Localization Algorithm for Received Signal Strength-Based Geolocation

Abstract

Location-Based Services (LBS), also called geolocation, have become increasingly popular in the past decades. They have several uses ranging from assisting emergency personnel, military reconnaissance and applications in social media. In geolocation a group of sensors estimate the location of transmitters using position and Radio Frequency (RF) information. A review of the literature revealed that a majority of the Received Signal Strength (RSS) techniques used made erroneous assumptions about the distribution or ignored effects of multiple transmitters, noise and multiple antennas. Further, the corresponding algorithms are often mathematically complex and computationally expensive. To address the issues this dissertation focused on RSS models which account for external factors effects and algorithms that are more efficient and accurate.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 2013
Accession Number
ADA583038

Entities

People

  • Amanda S. King

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Accuracy
  • Air Force
  • Algorithms
  • Angle Of Arrival
  • Data Analysis
  • Data Science
  • Department Of Defense
  • Descriptive Analytics
  • Diffraction
  • Gaussian Distributions
  • Information Science
  • Literature Surveys
  • Maximum Likelihood Estimation
  • Power Measurement
  • Radio Frequency
  • Scattering
  • Social Media

Readers

  • Computational Modeling and Simulation
  • Rehabilitation and Prosthetic Care for Military Service Members and Veterans with Limb Loss or Disability.
  • Sensor Fusion and Tracking Systems.