title: Energy-Based Acoustic Source Localization Methods: A Survey.
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.
authors.affiliation: School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing 100083, China. tslmeng@nus.edu.sg.|Temasek Laboratories, National University of Singapore, Singapore 117411, Singapore. tslmeng@nus.edu.sg.
authors.forename: Wei
authors.initials: W
authors.lastname: Meng
authors.affiliation: School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing 100083, China. wdxiao@ustb.edu.cn.
authors.forename: Wendong
authors.initials: W
authors.lastname: Xiao
keywords: Cramer–Rao bound (CRB); least-squares method; maximum likelihood method; source localization; wireless sensor network (WSN)