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Sensors 2017, 17(2), 376; doi:10.3390/s17020376

Energy-Based Acoustic Source Localization Methods: A Survey

1,2
and
1,*
1
School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing 100083, China
2
Temasek Laboratories, National University of Singapore, Singapore 117411, Singapore
*
Author to whom correspondence should be addressed.
Academic Editors: Xue-Bo Jin, Feng-Bao Yang, Shuli Sun and Hong Wei
Received: 24 August 2016 / Revised: 26 January 2017 / Accepted: 3 February 2017 / Published: 15 February 2017
(This article belongs to the Special Issue Advances in Multi-Sensor Information Fusion: Theory and Applications)
View Full-Text   |   Download PDF [494 KB, uploaded 15 February 2017]   |  

Abstract

Energy-based source localization is an important problem in wireless sensor networks (WSNs), which has been studied actively in the literature. Numerous localization algorithms, e.g., maximum likelihood estimation (MLE) and nonlinear-least-squares (NLS) methods, have been reported. In the literature, there are relevant review papers for localization in WSNs, e.g., for distance-based localization. However, not much work related to energy-based source localization is covered in the existing review papers. Energy-based methods are proposed and specially designed for a WSN due to its limited sensor capabilities. This paper aims to give a comprehensive review of these different algorithms for energy-based single and multiple source localization problems, their merits and demerits and to point out possible future research directions. View Full-Text
Keywords: wireless sensor network (WSN); source localization; maximum likelihood method; least-squares method; Cramer–Rao bound (CRB) wireless sensor network (WSN); source localization; maximum likelihood method; least-squares method; Cramer–Rao bound (CRB)
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Meng, W.; Xiao, W. Energy-Based Acoustic Source Localization Methods: A Survey. Sensors 2017, 17, 376.

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