Time-delay estimation in multiple-input single-output systems
Date
2010
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Source Title
IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC
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Publisher
IEEE
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Pages
200 - 205
Language
English
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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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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