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
Link To Document