Optimizing element positioning in sparse arrays for nearfield mm-wave imaging

Author

Rappaport, Carey ; Gonzalez-Valdes, Borja ; Allan, Gord ; Martinez-Lorenzo, Jose Angel

Author_Institution

Dept. of Electr. & Comput. Eng., Northeastern Univ., Boston, MA, USA

fYear

2013

fDate

15-18 Oct. 2013

Firstpage

333

Lastpage

335

Abstract

In order to minimize hardware and processing complexity in a nearfield mm-wave imaging, it is important to reduce the number of receiving elements as much as possible without significantly compromising reconstruction quality. While array thinning has been long practiced for farfield antenna systems, nearfield array thinning is novel in that the figure of merit (or cost function) is based on the wideband point spread function of the array when viewed as a transmitter. Simulated annealing is used to optimize the element positions for a quarter-circle array for 83% and 90% thinning with minimal and reasonable PSF distortion.

Keywords

millimetre wave antenna arrays; millimetre wave imaging; transfer functions; element positioning optimization; nearfield array thinning; nearfield millimeter wave imaging; point spread function; reconstruction quality; sparse arrays; Antenna arrays; Cost function; Finite element analysis; Gratings; Image reconstruction; Imaging; Simulated annealing; Imaging Systems; Inverse Methods; Millimeter waves; Sparse arrays;

fLanguage

English

Publisher

ieee

Conference_Titel

Phased Array Systems & Technology, 2013 IEEE International Symposium on

Conference_Location

Waltham, MA

Type

conf

DOI

10.1109/ARRAY.2013.6731850

Filename

6731850