Abstract
This paper proposes a method to infer on the parameters of a stochastic channel model from observations of temporal moments without multipath extraction. The distribution of the temporal moments is approximated to be Gaussian, and sampling is carried out from the approximate posterior.
The temporal moments are found to be informative about the model parameters, as the parameters can be recovered from the samples.
The temporal moments are found to be informative about the model parameters, as the parameters can be recovered from the samples.
Original language | English |
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Title of host publication | 2019 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, APSURSI 2019 |
Number of pages | 2 |
Publisher | IEEE |
Publication date | 31 Oct 2019 |
Pages | 1267-1268 |
Article number | 8888862 |
ISBN (Print) | 978-1-7281-0692-2, 978-1-7281-0692-2, 978-1-7281-0693-9 |
ISBN (Electronic) | 978-1-7281-0692-2 |
DOIs | |
Publication status | Published - 31 Oct 2019 |
Event | 2019 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting - Atlanta, USA, Atlanta, United States Duration: 7 Jul 2019 → 12 Jul 2019 http://www.2019apsursi.org |
Conference
Conference | 2019 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting |
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Location | Atlanta, USA |
Country/Territory | United States |
City | Atlanta |
Period | 07/07/2019 → 12/07/2019 |
Internet address |
Series | I E E E Antennas and Propagation Society. International Symposium |
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ISSN | 1522-3965 |