Radio Tomographic Imaging using a Modified Maximum Likelihood Estimator for Image Reconstruction in Various Environments

Abstract

Radio Tomographic Imaging is an emerging Device-Free Passive Localization technology. Radio Tomographic Imaging involves using a set of small low cost wireless transceivers to create a Wireless Sensor Network (WSN) around an Area of Interest (AoI). Furthermore, the Received Signal Strength (RSS) between transceiver pairs is utilized to reconstruct an image from the signal attenuation caused by an object disrupting the links. This image can then be utilized for multiple applications ranging from localization to target detection and tracking. This enhances the importance of image resolution in order to capture the actual size of the objects as well as the ability to resolve multiple objects in an AoI. The objective of this research is to propose a new image formation technique for a reconstructed image within a WSN. This was accomplished using a modified Maximum Likelihood Estimate (MLE) function that forces the desired solution to be positive. Other regularization techniques must implement different methods to mitigate the undesired singular values caused from a non invertible...

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Document Details

Document Type
Technical Report
Publication Date
Mar 23, 2018
Accession Number
AD1056150

Entities

People

  • Antwon R Gallagher

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Advanced Electronics
  • Biomedical
  • Energy and Power Technologies
  • Sensors

DTIC Thesaurus Topics

  • Accuracy
  • Air Force
  • Computers
  • Data Processing
  • Data Set
  • Detection
  • Detectors
  • Digital Data
  • Electrical Engineering
  • Engineering
  • Estimators
  • Graphical User Interface
  • Image Reconstruction
  • Information Processing
  • Measurement
  • Multiple Input Multiple Output
  • Operating Systems
  • Radar
  • Radio Frequency
  • Sensor Networks
  • Signal Processing
  • Target Tracking
  • Wireless Networks
  • Wireless Sensor Networks

Readers

  • Computer Networking
  • Image Processing and Computer Vision.
  • Sensor Fusion and Tracking Systems.