Koçak, FatihGezici, Sinan2016-02-082016-02-082010http://hdl.handle.net/11693/28465Date of Conference: 26-30 Sept. 2010In 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.EnglishCramer-Rao lower bound (CRLB)Differential evolution (DE)Maximum likelihood (ML) estimatorMultiple-input single-output (MISO)Time-delay estimationCramer-rao lower boundDifferential evolutionMaximum likelihood (ML) estimatorMultiple input single outputsTime delay estimationBiologyComputational complexityCramer-Rao boundsEstimationEvolutionary algorithmsFading (radio)Global optimizationMaximum likelihood estimationOptimizationRadio communicationTime delayConference Paper10.1109/PIMRC.2010.5671587