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Energy-Based Acoustic Source Localization Methods: A Survey

1,2 and 1,*
School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing 100083, China
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
Sensors 2017, 17(2), 376;
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)
PDF [494 KB, uploaded 15 February 2017]


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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