alexa Array Signal Processing for Maximum Likelihood Direction-of-Arrival Estimation | OMICS International | Abstract
ISSN: 2332-0796

Journal of Electrical & Electronic Systems
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Review Article

Array Signal Processing for Maximum Likelihood Direction-of-Arrival Estimation

Minghui Li1*, Yilong Lu2 and Bo He3

1School of Engineering, University of Glasgow, Glasgow, United Kingdom

2School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore

3School of Information Science and Engineering, Ocean University of China, Qingdao, China

*Corresponding Author:
Minghui Li
School of Engineering, University of Glasgow
Glasgow, United Kingdom
Tel: 44-141-548-2463
E-mail: [email protected]

Received Date: August 28, 2013; Accepted Date: October 24, 2013; Published Date: October 28, 2013

Citation: Li M, Lu Y, He B (2013) Array Signal Processing for Maximum Likelihood Direction-of-Arrival Estimation. J Electr Electron Syst 3:117. doi:10.4172/2332-0796.1000117

Copyright: © 2013 Li M, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

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 unfavorable 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 analyzed and compared, and evaluated against the theoretical lower bounds.

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