Title :
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
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;
Conference_Titel :
Antennas and Propagation Society International Symposium (APSURSI), 2012 IEEE
Conference_Location :
Chicago, IL
Print_ISBN :
978-1-4673-0461-0
DOI :
10.1109/APS.2012.6348980