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

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 reductio...

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Bibliographic Details
Published in:IEEE transactions on antennas and propagation Vol. 62; no. 4; pp. 1716 - 1722
Main Authors: Gonzalez-Valdes, Borja, Allan, Gregory, Rodriguez-Vaqueiro, Yolanda, Alvarez, Yuri, Mantzavinos, Spiros, Nickerson, Matt, Berkowitz, Ben, Martinez-Lorenzo, J. A., Las-Heras, Fernando, Rappaport, Carey M.
Format: Journal Article
Language:English
Published: New York IEEE 01.04.2014
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:
Arrays
Compressed
Compressed sensing
Detection
Imaging
imaging systems
inverse methods
Millimeter wave radar
Millimeter waves
Optimization
Radar imaging
Receivers
Simulated annealing
sparse arrays
Three dimensional
ISSN:0018-926X, 1558-2221
Online Access:Get full text
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Summary: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.
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ISSN:0018-926X
1558-2221
DOI:10.1109/TAP.2013.2290801