Radiation Efficiency Calculation of the Murchison Widefield Array Using a Power Wave Based Framework
dc.contributor.author | Ung, Daniel | |
dc.contributor.author | Sutinjo, Adrian | |
dc.contributor.author | Davidson, David Bruce | |
dc.contributor.author | Johnston-Hollitt, Melanie | |
dc.contributor.author | Tingay, Steven | |
dc.date.accessioned | 2019-11-13T03:47:54Z | |
dc.date.available | 2019-11-13T03:47:54Z | |
dc.date.issued | 2019 | |
dc.identifier.citation | Ung, D. and Sutinjo, A. and Davidson, D.B. and Johnston-Hollitt, M. and Tingay, S. 2019. Radiation Efficiency Calculation of the Murchison Widefield Array Using a Power Wave Based Framework. In: 2019 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, 7th Jul 2019, Atlanta, GA, USA. | |
dc.identifier.uri | http://hdl.handle.net/20.500.11937/76900 | |
dc.identifier.doi | 10.1109/APUSNCURSINRSM.2019.8888935 | |
dc.description.abstract |
We present a power wave based framework to compute the radiation efficiency of phased arrays which aims to simplify and minimize the amount of new simulated/measured data required by reusing prior knowledge of embedded element patterns (EEPs). The framework uses EEPs, S-parameters, and knowledge of low-noise amplifier (LNA) impedance to perform the calculation. Based on the previously simulated Murchison Widefield Array (MWA) embedded element pattern and S-parameters, we calculated the radiation efficiency of the MWA to be no less than 94% whereby the lowest efficiency occurs at approximately 242 MHz. | |
dc.title | Radiation Efficiency Calculation of the Murchison Widefield Array Using a Power Wave Based Framework | |
dc.type | Conference Paper | |
dcterms.source.conference | 2019 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting | |
dcterms.source.conference-start-date | 7 Jul 2019 | |
dcterms.source.conferencelocation | Atlanta, GA, USA | |
dc.date.updated | 2019-11-13T03:47:54Z | |
curtin.department | School of Elec Eng, Comp and Math Sci (EECMS) | |
curtin.accessStatus | Fulltext not available | |
curtin.faculty | Faculty of Science and Engineering | |
curtin.contributor.orcid | Ung, Daniel [0000-0002-7775-9635] | |
dcterms.source.conference-end-date | 12 Jul 2019 |
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