Reduceing the size of MIMO arrays using adjoint-based geometry evolution

Author

Ghassemi, Massoud ; Bakr, Mohamed H. ; Sangary, Nagula

Author_Institution

Dept. of Electr. & Comput. Eng., McMaster Univ., Hamilton, ON, Canada

fYear

2012

fDate

8-14 July 2012

Firstpage

1

Lastpage

2

Abstract

This paper presents an approach for reducing the size of multi-input multi-output (MIMO) system antennas. In this approach, we minimize the spacing between elements such that both the return loss of each element and the coupling between any two elements are less than -10 dB. To reduce the spacing, the shape of individual antenna elements is allowed to evolve using a gradient-based optimization. Adjoint sensitivities are utilized to efficiently solve the optimization problem. We illustrate this approach by designing a 1-by-2 ultra-wideband (UWB) microstrip MIMO array.

Keywords

MIMO communication; gradient methods; microstrip antenna arrays; ultra wideband antennas; 1-by-2 UWB microstrip MIMO array; 1-by-2 ultrawideband microstrip MIMO array; adjoint sensitivities; adjoint-based geometry evolution; antenna elements; gradient-based optimization; multiple-input multiple-output system antennas; return loss; Geometry; MIMO; Microstrip antenna arrays; Optimization; Sensitivity;

fLanguage

English

Publisher

ieee

Conference_Titel

Antennas and Propagation Society International Symposium (APSURSI), 2012 IEEE

Conference_Location

Chicago, IL

ISSN

1522-3965

Print_ISBN

978-1-4673-0461-0

Type

conf

DOI

10.1109/APS.2012.6348980

Filename

6348980