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Energy-Based Acoustic Source Localization Methods: A Survey

机译:基于能量的声源定位方法:一项调查

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摘要

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.
机译:基于能量的源定位是无线传感器网络(WSN)中的一个重要问题,在文献中对此进行了积极的研究。已经报道了许多定位算法,例如最大似然估计(MLE)和非线性最小二乘法(NLS)方法。在文献中,有相关的评论文章用于WSN中的本地化,例如基于距离的本地化。但是,现有的综述文件中并未涉及与基于能源的源定位有关的大量工作。由于其有限的传感器功能,提出了基于能量的方法,并为WSN专门设计了基于能量的方法。本文旨在对基于能量的单源和多源定位问题的这些不同算法进行全面综述,并探讨其优缺点,并指出未来可能的研究方向。

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