Publication Type |
journal article |
School or College |
College of Engineering |
Department |
Electrical & Computer Engineering |
Creator |
Furse, Cynthia M. |
Other Author |
Sai A, Peruvemba R.; Landon, David |
Title |
Iterative array level optimization of MIMO antennas |
Date |
2008 |
Description |
Multiple-input-multiple-output systems have gained importance in the last decade due to their ability to provide improved capacity as compared to their SISO counterparts. System optimization promises further improvement in the capacity. The optimization can be either optimization of detection algorithms or optimizing the hardware designs. Starting with the network level MIMO model which includes the affect of mutual coupling and antenna correlation and an extended MIMO transmission model considering polarization, antenna efficiency, radiation pattern for capacity we analyze some simple antenna configurations for MIMO. This paper analyses the affect of each of the parameters on capacity obtained by using single dipole and three PIFA antenna configurations. Further antenna optimization for capacity including noise and interference will be presented at the conference. |
Type |
Text |
Publisher |
International Union of Radio Science (URSI) |
First Page |
11 |
Last Page |
15 |
Language |
eng |
Bibliographic Citation |
Sai A, P. R., Landon, D., & Furse, C. M. (2008). Iterative array level optimization of MIMO antennas. XXIX General Assembly of URSI. August 11-15. |
Rights Management |
(c) International Union of Radio Science (URSI) |
Format Medium |
application/pdf |
Format Extent |
144,798 bytes |
Identifier |
ir-main,14160 |
ARK |
ark:/87278/s6xk8zxg |
Setname |
ir_uspace |
ID |
705031 |
Reference URL |
https://collections.lib.utah.edu/ark:/87278/s6xk8zxg |