Time-delay estimation in multiple-input single-output systems
Date
2010
Authors
Editor(s)
Advisor
Supervisor
Co-Advisor
Co-Supervisor
Instructor
Source Title
IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC
Print ISSN
Electronic ISSN
Publisher
IEEE
Volume
Issue
Pages
200 - 205
Language
English
Type
Journal Title
Journal ISSN
Volume Title
Citation Stats
Attention Stats
Usage Stats
6
views
views
23
downloads
downloads
Series
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.
Course
Other identifiers
Book Title
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