Array Signal Processing for Maximum Likelihood Direction-of-Arrival EstimationMinghui Li1*, Yilong Lu2 and Bo He3
- *Corresponding Author:
- Minghui Li
School of Engineering, University of Glasgow
Glasgow, United Kingdom
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.
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.