Time-delay estimation in multiple-input single-output systems
buir.contributor.author | Gezici, Sinan | |
dc.citation.epage | 205 | en_US |
dc.citation.spage | 200 | en_US |
dc.contributor.author | Koçak, Fatih | en_US |
dc.contributor.author | Gezici, Sinan | en_US |
dc.coverage.spatial | Istanbul, Turkey | en_US |
dc.date.accessioned | 2016-02-08T12:21:24Z | |
dc.date.available | 2016-02-08T12:21:24Z | |
dc.date.issued | 2010 | en_US |
dc.department | Department of Electrical and Electronics Engineering | en_US |
dc.description | Date of Conference: 26-30 Sept. 2010 | en_US |
dc.description.abstract | In this paper, the time-delay estimation problem is studied for multiple-input single-output (MISO) systems. First, a theoretical analysis is carried out by deriving the Cramer-Rao lower bound (CRLB) for time-delay estimation in a MISO system. Then, the maximum likelihood (ML) estimator for the time-delay parameter is obtained, which results in a complex optimization problem in general. In order to provide a solution of the ML estimator with low computational complexity, ML estimation based on a genetic global optimization algorithm, namely, differential evolution (DE), is proposed. Simulation studies for various fading scenarios are performed to investigate the performance of the proposed algorithm. ©2010 IEEE. | en_US |
dc.identifier.doi | 10.1109/PIMRC.2010.5671587 | en_US |
dc.identifier.uri | http://hdl.handle.net/11693/28465 | |
dc.language.iso | English | en_US |
dc.publisher | IEEE | en_US |
dc.relation.isversionof | http://dx.doi.org/10.1109/PIMRC.2010.5671587 | en_US |
dc.source.title | IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC | en_US |
dc.subject | Cramer-Rao lower bound (CRLB) | en_US |
dc.subject | Differential evolution (DE) | en_US |
dc.subject | Maximum likelihood (ML) estimator | en_US |
dc.subject | Multiple-input single-output (MISO) | en_US |
dc.subject | Time-delay estimation | en_US |
dc.subject | Cramer-rao lower bound | en_US |
dc.subject | Differential evolution | en_US |
dc.subject | Maximum likelihood (ML) estimator | en_US |
dc.subject | Multiple input single outputs | en_US |
dc.subject | Time delay estimation | en_US |
dc.subject | Biology | en_US |
dc.subject | Computational complexity | en_US |
dc.subject | Cramer-Rao bounds | en_US |
dc.subject | Estimation | en_US |
dc.subject | Evolutionary algorithms | en_US |
dc.subject | Fading (radio) | en_US |
dc.subject | Global optimization | en_US |
dc.subject | Maximum likelihood estimation | en_US |
dc.subject | Optimization | en_US |
dc.subject | Radio communication | en_US |
dc.subject | Time delay | en_US |
dc.title | Time-delay estimation in multiple-input single-output systems | en_US |
dc.type | Conference Paper | en_US |
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