Computational Models and Algorithms for Millimeter Wave Whole Body Scanning for AIT
R3-A2

Overview and technical approach

  • Algorithm to improve AIT by determining the dielectric constant of non-metallic slabs affixed to the body
  • Thinned array optimization to reduce hardware requirements and lower costs
  • Compressive sensing analysis for highest efficiency imaging

Relevance to the DHS Enterprise

  • Material detection specifically addresses concealed explosive characterization
  • Compressive sensing design and processing reduces hardware, speeds imaging improves performance, reduces artifacts, reduces false alarms
  • Parallel computation with GPUs speeds reconstruction
Project Leader
  • Carey M. Rappaport
    Professor
    Northeastern University
    Email

  • Jose A.Martinez-Lorenzo
    Research Professor
    Northeastern University
    Email

  • Borja Gonzalez-Valdes
    Post Doctorate
    Northeastern
    Email