A Novel Weighted Localization Method in Wireless Sensor Networks Based on Hybrid RSS/AoA Measurements

A hybrid RSS/AOA indoor localization method based on error variance and measurement noise weighted least squares (ENWLS) is proposed. This method is based on three-dimensional wireless sensor networks, and achieves high-precision indoor positioning without increasing its complexity. We use the first...

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Autores principales:	Weizhong Ding, Shengming Chang, Jun Li
Formato:	article
Lenguaje:	EN
Publicado:	IEEE 2021
Materias:	Wireless sensor networks (WSNs) weighted least square (WLS) received signal strength (RSS) angle of arrival (AOA) localization Electrical engineering. Electronics. Nuclear engineering TK1-9971
Acceso en línea:	https://doaj.org/article/df572d97e9584543b8d3511af39b22bf
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id	oai:doaj.org-article:df572d97e9584543b8d3511af39b22bf
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spelling	oai:doaj.org-article:df572d97e9584543b8d3511af39b22bf2021-11-18T00:06:10ZA Novel Weighted Localization Method in Wireless Sensor Networks Based on Hybrid RSS/AoA Measurements2169-353610.1109/ACCESS.2021.3126148https://doaj.org/article/df572d97e9584543b8d3511af39b22bf2021-01-01T00:00:00Zhttps://ieeexplore.ieee.org/document/9605251/https://doaj.org/toc/2169-3536A hybrid RSS/AOA indoor localization method based on error variance and measurement noise weighted least squares (ENWLS) is proposed. This method is based on three-dimensional wireless sensor networks, and achieves high-precision indoor positioning without increasing its complexity. We use the first-order Taylor approximation to approximate the linear weighted least square (WLS) error, and use the weighted least squares estimation to roughly estimate the location of the target, then determine the weight matrix by estimating the linear WLS error variance and the measured noise value on the sensor node. Simulation results show that our proposed method is better than other existing hybrid RSS/AOA localization methods.Weizhong DingShengming ChangJun LiIEEEarticleWireless sensor networks (WSNs)weighted least square (WLS)received signal strength (RSS)angle of arrival (AOA)localizationElectrical engineering. Electronics. Nuclear engineeringTK1-9971ENIEEE Access, Vol 9, Pp 150677-150685 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Wireless sensor networks (WSNs) weighted least square (WLS) received signal strength (RSS) angle of arrival (AOA) localization Electrical engineering. Electronics. Nuclear engineering TK1-9971
spellingShingle	Wireless sensor networks (WSNs) weighted least square (WLS) received signal strength (RSS) angle of arrival (AOA) localization Electrical engineering. Electronics. Nuclear engineering TK1-9971 Weizhong Ding Shengming Chang Jun Li A Novel Weighted Localization Method in Wireless Sensor Networks Based on Hybrid RSS/AoA Measurements
description	A hybrid RSS/AOA indoor localization method based on error variance and measurement noise weighted least squares (ENWLS) is proposed. This method is based on three-dimensional wireless sensor networks, and achieves high-precision indoor positioning without increasing its complexity. We use the first-order Taylor approximation to approximate the linear weighted least square (WLS) error, and use the weighted least squares estimation to roughly estimate the location of the target, then determine the weight matrix by estimating the linear WLS error variance and the measured noise value on the sensor node. Simulation results show that our proposed method is better than other existing hybrid RSS/AOA localization methods.
format	article
author	Weizhong Ding Shengming Chang Jun Li
author_facet	Weizhong Ding Shengming Chang Jun Li
author_sort	Weizhong Ding
title	A Novel Weighted Localization Method in Wireless Sensor Networks Based on Hybrid RSS/AoA Measurements
title_short	A Novel Weighted Localization Method in Wireless Sensor Networks Based on Hybrid RSS/AoA Measurements
title_full	A Novel Weighted Localization Method in Wireless Sensor Networks Based on Hybrid RSS/AoA Measurements
title_fullStr	A Novel Weighted Localization Method in Wireless Sensor Networks Based on Hybrid RSS/AoA Measurements
title_full_unstemmed	A Novel Weighted Localization Method in Wireless Sensor Networks Based on Hybrid RSS/AoA Measurements
title_sort	novel weighted localization method in wireless sensor networks based on hybrid rss/aoa measurements
publisher	IEEE
publishDate	2021
url	https://doaj.org/article/df572d97e9584543b8d3511af39b22bf
work_keys_str_mv	AT weizhongding anovelweightedlocalizationmethodinwirelesssensornetworksbasedonhybridrssaoameasurements AT shengmingchang anovelweightedlocalizationmethodinwirelesssensornetworksbasedonhybridrssaoameasurements AT junli anovelweightedlocalizationmethodinwirelesssensornetworksbasedonhybridrssaoameasurements AT weizhongding novelweightedlocalizationmethodinwirelesssensornetworksbasedonhybridrssaoameasurements AT shengmingchang novelweightedlocalizationmethodinwirelesssensornetworksbasedonhybridrssaoameasurements AT junli novelweightedlocalizationmethodinwirelesssensornetworksbasedonhybridrssaoameasurements
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A Novel Weighted Localization Method in Wireless Sensor Networks Based on Hybrid RSS/AoA Measurements

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