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Efficient Convex Optimization for Energy-Based Acoustic Sensor Self-Localization and Source Localization in Sensor Networks

The energy reading has been an efficient and attractive measure for collaborative acoustic source localization in practical application due to its cost saving in both energy and computation capability. The maximum likelihood problems by fusing received acoustic energy readings transmitted from local...

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Autores principales: Yan, Yongsheng, Wang, Haiyan, Shen, Xiaohong, Leng, Bing, Li, Shuangquan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5982239/
https://www.ncbi.nlm.nih.gov/pubmed/29883410
http://dx.doi.org/10.3390/s18051646
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author Yan, Yongsheng
Wang, Haiyan
Shen, Xiaohong
Leng, Bing
Li, Shuangquan
author_facet Yan, Yongsheng
Wang, Haiyan
Shen, Xiaohong
Leng, Bing
Li, Shuangquan
author_sort Yan, Yongsheng
collection PubMed
description The energy reading has been an efficient and attractive measure for collaborative acoustic source localization in practical application due to its cost saving in both energy and computation capability. The maximum likelihood problems by fusing received acoustic energy readings transmitted from local sensors are derived. Aiming to efficiently solve the nonconvex objective of the optimization problem, we present an approximate estimator of the original problem. Then, a direct norm relaxation and semidefinite relaxation, respectively, are utilized to derive the second-order cone programming, semidefinite programming or mixture of them for both cases of sensor self-location and source localization. Furthermore, by taking the colored energy reading noise into account, several minimax optimization problems are formulated, which are also relaxed via the direct norm relaxation and semidefinite relaxation respectively into convex optimization problems. Performance comparison with the existing acoustic energy-based source localization methods is given, where the results show the validity of our proposed methods.
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spelling pubmed-59822392018-06-05 Efficient Convex Optimization for Energy-Based Acoustic Sensor Self-Localization and Source Localization in Sensor Networks Yan, Yongsheng Wang, Haiyan Shen, Xiaohong Leng, Bing Li, Shuangquan Sensors (Basel) Article The energy reading has been an efficient and attractive measure for collaborative acoustic source localization in practical application due to its cost saving in both energy and computation capability. The maximum likelihood problems by fusing received acoustic energy readings transmitted from local sensors are derived. Aiming to efficiently solve the nonconvex objective of the optimization problem, we present an approximate estimator of the original problem. Then, a direct norm relaxation and semidefinite relaxation, respectively, are utilized to derive the second-order cone programming, semidefinite programming or mixture of them for both cases of sensor self-location and source localization. Furthermore, by taking the colored energy reading noise into account, several minimax optimization problems are formulated, which are also relaxed via the direct norm relaxation and semidefinite relaxation respectively into convex optimization problems. Performance comparison with the existing acoustic energy-based source localization methods is given, where the results show the validity of our proposed methods. MDPI 2018-05-21 /pmc/articles/PMC5982239/ /pubmed/29883410 http://dx.doi.org/10.3390/s18051646 Text en © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Yan, Yongsheng
Wang, Haiyan
Shen, Xiaohong
Leng, Bing
Li, Shuangquan
Efficient Convex Optimization for Energy-Based Acoustic Sensor Self-Localization and Source Localization in Sensor Networks
title Efficient Convex Optimization for Energy-Based Acoustic Sensor Self-Localization and Source Localization in Sensor Networks
title_full Efficient Convex Optimization for Energy-Based Acoustic Sensor Self-Localization and Source Localization in Sensor Networks
title_fullStr Efficient Convex Optimization for Energy-Based Acoustic Sensor Self-Localization and Source Localization in Sensor Networks
title_full_unstemmed Efficient Convex Optimization for Energy-Based Acoustic Sensor Self-Localization and Source Localization in Sensor Networks
title_short Efficient Convex Optimization for Energy-Based Acoustic Sensor Self-Localization and Source Localization in Sensor Networks
title_sort efficient convex optimization for energy-based acoustic sensor self-localization and source localization in sensor networks
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5982239/
https://www.ncbi.nlm.nih.gov/pubmed/29883410
http://dx.doi.org/10.3390/s18051646
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