Cooper, Tim, McCormack, Justine, Farrell, Ronan and Baldwin, Gerard (2007) Toward Scalable, Automated Tower-Top Phased Array Calibration. In: UNSPECIFIED.
PDF
16-56538-review.pdf
Download (383kB)
16-56538-review.pdf
Download (383kB)
Abstract
The tower-top deployment of base station electronics
could prove of utility in future cellular communication
applications. We present a scalable, non-radiative, automated
calibration scheme for such a system, which employs an array
of independently phased transceivers. By coupling an interlinear
row of reference transceivers to the array, feedpoint calibration of
the array is possible. The theoretical justication for the scheme is
presented together with assessment of the accuracy of calibration
possible using commercial off the shelf components.
Item Type: | Conference or Workshop Item (Paper) |
---|---|
Additional Information: | Copyright é 2005 IEEE.  Reprinted from (relevant publication info). This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of NUI Maynooth ePrints and eTheses Archive's products or services. Internal or personal use of this material is permitted. However, permission for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to pubs-permissions@ieee.org. By choosing to view this document, you agree to all provisions of the copyright laws protecting it. |
Keywords: | Tower-Top Phased Array Calibration |
Academic Unit: | Faculty of Science and Engineering > Electronic Engineering |
Item ID: | 584 |
Depositing User: | Ronan Farrell |
Date Deposited: | 04 Jul 2007 |
Publisher: | IEEE: Institute of Electrical and Electronics Engineers |
Refereed: | Yes |
URI: | https://mural.maynoothuniversity.ie/id/eprint/584 |
Use Licence: | This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here |
Repository Staff Only (login required)
Downloads
Downloads per month over past year