• DocumentCode
    1757726
  • Title

    Sparse Array Optimization Using Simulated Annealing and Compressed Sensing for Near-Field Millimeter Wave Imaging

  • Author

    Gonzalez-Valdes, Borja ; Allan, Gord ; Rodriguez-Vaqueiro, Yolanda ; Alvarez, Yuri ; Mantzavinos, Spiros ; Nickerson, Matt ; Berkowitz, Ben ; Martinez-Lorenzo, Jose Angel ; Las-Heras, Fernando ; Rappaport, Carey M.

  • Author_Institution
    ALERT Center, Northeastern Univ., Boston, MA, USA
  • Volume
    62
  • Issue
    4
  • fYear
    2014
  • fDate
    41730
  • Firstpage
    1716
  • Lastpage
    1722
  • Abstract
    The optimization and use of a sparse array configuration for an active three dimensional (3D) millimeter wave imaging system for personnel security screening is presented in this work. The combination of the optimization procedure with the use of Compressed Sensing techniques allows drastic reduction in the number of sensors, thereby simplifying the system design and fabrication and reducing its cost. Representative simulation results showing good performance of the proposed system are provided and supported by sample measurements.
  • Keywords
    compressed sensing; millimetre wave imaging; optimisation; personnel; active 3D millimeter wave imaging; compressed sensing; near-field millimeter wave imaging; personnel security screening; simulated annealing; sparse array configuration; sparse array optimization; Arrays; Compressed sensing; Imaging; Millimeter wave radar; Optimization; Radar imaging; Receivers; Compressed sensing; imaging systems; inverse methods; millimeter wave radar; sparse arrays;
  • fLanguage
    English
  • Journal_Title
    Antennas and Propagation, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-926X
  • Type

    jour

  • DOI
    10.1109/TAP.2013.2290801
  • Filename
    6663636