Fast Construction of the Radio Map Based on the Improved Low-Rank Matrix Completion and Recovery Method for an Indoor Positioning System

With the development of information technology, indoor positioning technology has been rapidly evolving. Due to the advantages of high positioning accuracy, low cost, and wide coverage simultaneously, received signal strength- (RSS-) based WLAN indoor positioning technology has become one of the mai...

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Autores principales:	Zhuang Wang, Liye Zhang, Qun Kong, Kangtao Wang
Formato:	article
Lenguaje:	EN
Publicado:	Hindawi Limited 2021
Materias:	Technology (General) T1-995
Acceso en línea:	https://doaj.org/article/cc69b6251c5447a78e0dd5a1fabe8a9b
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spelling	oai:doaj.org-article:cc69b6251c5447a78e0dd5a1fabe8a9b2021-11-08T02:36:25ZFast Construction of the Radio Map Based on the Improved Low-Rank Matrix Completion and Recovery Method for an Indoor Positioning System1687-726810.1155/2021/2017208https://doaj.org/article/cc69b6251c5447a78e0dd5a1fabe8a9b2021-01-01T00:00:00Zhttp://dx.doi.org/10.1155/2021/2017208https://doaj.org/toc/1687-7268With the development of information technology, indoor positioning technology has been rapidly evolving. Due to the advantages of high positioning accuracy, low cost, and wide coverage simultaneously, received signal strength- (RSS-) based WLAN indoor positioning technology has become one of the mainstream technologies. A radio map is the basis for the realization of the WLAN positioning system. However, by reasons of the huge workload of RSS collection, the instability of wireless signal strength, and the disappearance of signals caused by the occlusion of people and objects, the construction of a radio map is time-consuming and inefficient. In order to rapidly deploy the WLAN indoor positioning system, an improved low-rank matrix completion method is proposed to construct the radio map. Firstly, we evenly arrange a small number of reference points (RP) in the positioning area and collect RSS data on the RP to construct the radio map. Then, the low-rank matrix completion method is used to fill a small amount of data in the radio map into a complete database. The Frobenius parameter (F-parameter) is introduced into the traditional low-rank matrix completion model to control the instability of the model solution when filling the data. To solve the noise problem caused by environment and equipment, a low-rank matrix recovery algorithm is used to eliminate noise. The experimental results show that the improved algorithm achieves the expected goal.Zhuang WangLiye ZhangQun KongKangtao WangHindawi LimitedarticleTechnology (General)T1-995ENJournal of Sensors, Vol 2021 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Technology (General) T1-995
spellingShingle	Technology (General) T1-995 Zhuang Wang Liye Zhang Qun Kong Kangtao Wang Fast Construction of the Radio Map Based on the Improved Low-Rank Matrix Completion and Recovery Method for an Indoor Positioning System
description	With the development of information technology, indoor positioning technology has been rapidly evolving. Due to the advantages of high positioning accuracy, low cost, and wide coverage simultaneously, received signal strength- (RSS-) based WLAN indoor positioning technology has become one of the mainstream technologies. A radio map is the basis for the realization of the WLAN positioning system. However, by reasons of the huge workload of RSS collection, the instability of wireless signal strength, and the disappearance of signals caused by the occlusion of people and objects, the construction of a radio map is time-consuming and inefficient. In order to rapidly deploy the WLAN indoor positioning system, an improved low-rank matrix completion method is proposed to construct the radio map. Firstly, we evenly arrange a small number of reference points (RP) in the positioning area and collect RSS data on the RP to construct the radio map. Then, the low-rank matrix completion method is used to fill a small amount of data in the radio map into a complete database. The Frobenius parameter (F-parameter) is introduced into the traditional low-rank matrix completion model to control the instability of the model solution when filling the data. To solve the noise problem caused by environment and equipment, a low-rank matrix recovery algorithm is used to eliminate noise. The experimental results show that the improved algorithm achieves the expected goal.
format	article
author	Zhuang Wang Liye Zhang Qun Kong Kangtao Wang
author_facet	Zhuang Wang Liye Zhang Qun Kong Kangtao Wang
author_sort	Zhuang Wang
title	Fast Construction of the Radio Map Based on the Improved Low-Rank Matrix Completion and Recovery Method for an Indoor Positioning System
title_short	Fast Construction of the Radio Map Based on the Improved Low-Rank Matrix Completion and Recovery Method for an Indoor Positioning System
title_full	Fast Construction of the Radio Map Based on the Improved Low-Rank Matrix Completion and Recovery Method for an Indoor Positioning System
title_fullStr	Fast Construction of the Radio Map Based on the Improved Low-Rank Matrix Completion and Recovery Method for an Indoor Positioning System
title_full_unstemmed	Fast Construction of the Radio Map Based on the Improved Low-Rank Matrix Completion and Recovery Method for an Indoor Positioning System
title_sort	fast construction of the radio map based on the improved low-rank matrix completion and recovery method for an indoor positioning system
publisher	Hindawi Limited
publishDate	2021
url	https://doaj.org/article/cc69b6251c5447a78e0dd5a1fabe8a9b
work_keys_str_mv	AT zhuangwang fastconstructionoftheradiomapbasedontheimprovedlowrankmatrixcompletionandrecoverymethodforanindoorpositioningsystem AT liyezhang fastconstructionoftheradiomapbasedontheimprovedlowrankmatrixcompletionandrecoverymethodforanindoorpositioningsystem AT qunkong fastconstructionoftheradiomapbasedontheimprovedlowrankmatrixcompletionandrecoverymethodforanindoorpositioningsystem AT kangtaowang fastconstructionoftheradiomapbasedontheimprovedlowrankmatrixcompletionandrecoverymethodforanindoorpositioningsystem
_version_	1718443137400045568

Fast Construction of the Radio Map Based on the Improved Low-Rank Matrix Completion and Recovery Method for an Indoor Positioning System

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