Time-delay estimation in multiple-input single-output systems
Date
2010
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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.
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IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC
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IEEE
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Keywords
Cramer-Rao lower bound (CRLB), Differential evolution (DE), Maximum likelihood (ML) estimator, Multiple-input single-output (MISO), Time-delay estimation, Cramer-rao lower bound, Differential evolution, Maximum likelihood (ML) estimator, Multiple input single outputs, Time delay estimation, Biology, Computational complexity, Cramer-Rao bounds, Estimation, Evolutionary algorithms, Fading (radio), Global optimization, Maximum likelihood estimation, Optimization, Radio communication, Time delay
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English