Li, M., Lu, Y. and He, B. (2013) Array signal processing for maximum likelihood direction-of-arrival estimation. Journal of Electrical and Electronic Systems, 3(1), p. 117. (doi: 10.4172/jees.1000117)
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Publisher's URL: htp://dx.doi.org/10.4172/jees.1000117
Abstract
Emitter Direction-of-Arrival (DOA) estimation is a fundamental problem in a variety of applications including radar, sonar, and wireless communications. The research has received considerable attention in literature and numerous methods have been proposed. Maximum Likelihood (ML) is a nearly optimal technique producing superior estimates compared to other methods especially in unfavourable conditions, and thus is of significant practical interest. This paper discusses in details the techniques for ML DOA estimation in either white Gaussian noise or unknown noise environment. Their performances are analysed and compared, and evaluated against the theoretical lower bounds.
Item Type: | Articles |
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Keywords: | Signal processing; Direction-of-Arrival estimation; Maximum likelihood |
Status: | Published |
Refereed: | Yes |
Glasgow Author(s) Enlighten ID: | Li, Dr David |
Authors: | Li, M., Lu, Y., and He, B. |
Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering |
College/School: | College of Science and Engineering > School of Engineering |
Journal Name: | Journal of Electrical and Electronic Systems |
Journal Abbr.: | J Electr Electron Syst |
Publisher: | OMICS |
ISSN: | 2332-0796 |
Copyright Holders: | Copyright © 2013 The Authors |
First Published: | First published in Journal of Electrical and Electronic Systems 3(1):117 |
Publisher Policy: | Reproduced under a Creative Commons License |
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