Bluetooth positioning using RSSI and triangulation methods

Wang, Yapeng; Yang, Xu; Zhao, Yutian; Liu, Yue; Cuthbert, Laurie

doi:10.1109/ccnc.2013.6488558

Cited by 113 publications

(32 citation statements)

References 5 publications

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“…Assuming at least three received signal strength indication (RSSI) measurements are available, the user’s position can be solved by trilateration according to the distances estimated accordingly. The authors in [9] proposed three different methods for trilateration.

The least square estimation (LSE) method [9].

…”

Section: Introductionmentioning

confidence: 99%

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Indoor Positioning Based on Bluetooth Low-Energy Beacons Adopting Graph Optimization

Zuo

Liu

Zhang

et al. 2018

Sensors

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Bluetooth Low-Energy (BLE) beacons-based indoor positioning is a promising method for indoor positioning, especially in applications of position-based services (PbS). It has low deployment cost and it is suitable for a wide range of mobile devices. Existing BLE beacon-based positioning methods can be categorized as range-based methods and fingerprinting-based methods. For range-based methods, the positions of the beacons should be known before positioning. For fingerprinting-based methods, a pre-requisite is the reference fingerprinting map (RFM). Many existing methods focus on how to perform the positioning assuming the beacon positions or RFM are known. However, in practical applications, determining the beacon positions or RFM in the indoor environment is normally a difficult task. This paper proposed an efficient and graph optimization-based way for estimating the beacon positions and the RFM, which combines the range-based method and the fingerprinting-based method. The method exists without need for any dedicated surveying instruments. A user equipped with a BLE-enabled mobile device walks in the region collecting inertial readings and BLE received signal strength indication (RSSI) readings. The inertial measurements are processed through the pedestrian dead reckoning (PDR) method to generate the constraints at adjacent poses. In addition, the BLE fingerprints are adopted to generate constraints between poses (with similar fingerprints) and the RSSIs are adopted to generate distance constraints between the poses and the beacon positions (according to a pre-defined path-loss model). The constraints are then adopted to form a cost function with a least square structure. By minimizing the cost function, the optimal user poses at different times and the beacon positions are estimated. In addition, the RFM can be generated through the pose estimations. Experiments are carried out, which validates that the proposed method for estimating the pre-requisites (including beacon positions and the RFM). These estimated pre-requisites are of sufficient quality for both range-based and fingerprinting-based positioning.

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The least square estimation (LSE) method [9].

…”

Section: Introductionmentioning

confidence: 99%

“…The authors in [9] proposed three different methods for trilateration. The least square estimation (LSE) method [9]. By minimize the square sums of the distance errors, an optimal position can be found.…”

Section: Introductionmentioning

confidence: 99%

Indoor Positioning Based on Bluetooth Low-Energy Beacons Adopting Graph Optimization

Zuo

Liu

Zhang

et al. 2018

Sensors

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show abstract

“…Gomez et al (2012), Y. Wang et al (2013), Rida, Liu, Jadi, Algawhari, and Askourih (2015) and Zhuang, Yang, Li, Qi, and El-Sheimy (2016), among other researchers, have used mobile WPAN that utilise the RSS feature in a couple of implementations that include positioning. Bluetooth-based positioning system is a system that locate and track objects and people inside a building by providing real-time position information of radio and mobile phone users using fixed Bluetooth sensors connected to a LAN (Y.…”

Section: Bluetooth-based Positioning Systemmentioning

confidence: 99%

“…Bluetooth-based positioning system is a system that locate and track objects and people inside a building by providing real-time position information of radio and mobile phone users using fixed Bluetooth sensors connected to a LAN (Y. Wang et al, 2013;Zhuang et al, 2016). The positioning system consists of Bluetooth devices, Bluetooth tags or sensors, server and WLAN (H. Liu et al, 2007;Deak et al, 2012).…”

Section: Bluetooth-based Positioning Systemmentioning

confidence: 99%

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A State-of-the-Art Survey of Indoor Positioning and Navigation Systems and Technologies

Sakpere

Oshin

Mlitwa

2017

SACJ

142

128

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The research and use of positioning and navigation technologies outdoors has seen a steady and exponential growth. Based on this success, there have been attempts to implement these technologies indoors, leading to numerous studies. Most of the algorithms, techniques and technologies used have been implemented outdoors. However, how they fare indoors is different altogether. Thus, several technologies have been proposed and implemented to improve positioning and navigation indoors. Among them are Infrared (IR), Ultrasound, Audible Sound, Magnetic, Optical and Vision, Radio Frequency (RF), Visible Light, Pedestrian Dead Reckoning (PDR)/Inertial Navigation System (INS) and Hybrid. The RF technologies include Bluetooth, Ultra-wideband (UWB), Wireless Sensor Network (WSN), Wireless Local Area Network (WLAN), Radio-Frequency Identification (RFID) and Near Field Communication (NFC). In addition, positioning techniques applied in indoor positioning systems include the signal properties and positioning algorithms. The prevalent signal properties are Angle of Arrival (AOA), Time of Arrival (TOA), Time Difference of Arrival (TDOA) and Received Signal Strength Indication (RSSI), while the positioning algorithms are Triangulation, Trilateration, Proximity and Scene Analysis/ Fingerprinting. This paper presents a state-of-the-art survey of indoor positioning and navigation systems and technologies, and their use in various scenarios. It analyses distinct positioning technology metrics such as accuracy, complexity, cost, privacy, scalability and usability. This paper has profound implications for future studies of positioning and navigation.

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Digitaler Zwilling Baustelle – Baustellenüberwachung zur automatisierten Zeit‐ und Kostenkontrolle

et al. 2023

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Während in der Produktions-und Fertigungsbranche bereits mit hoch automatisierten Verfahren gearbeitet wird, tut sich die Bauindustrie schwer, den technologischen Fortschritt zu nutzen [1]. Das begünstigt Ungenauigkeiten bei der Fortschrittskontrolle, was unweigerlich zu Verzögerungen im Bauprojekt führt.Ein etabliertes Konzept, welches v. a. in der Fertigungsindustrie zu einem hohen Grad an Automatisierung geführt hat, ist der Digitale Zwilling. Diese Technologie basiert darauf, ein digitales Abbild der Realität zu schaffen. Der Begriff Digitaler Zwilling wurde erstmalig 2003 von Michael Grieves als "digitales Abbild eines physischen Objektes" verwendet [1,2]. In den letzten 20 Jahren gab es zahlreiche Entwicklungen und Anwendungsfälle dieses Konzepts, der Kern ist jedoch gleich geblieben: Durch den Digitalen Zwilling entsteht eine Wechselwirkung zwischen der physischen und der digitalen Welt. Infolgedessen entstehen viele neue Perspektiven, bspw. beim Einsatz während der Bauausführung, wie in diesem Bei-trag vorgestellt wird. Den Kern bildet dabei die automatisierte Baufortschrittsüberwachung.

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Bluetooth positioning using RSSI and triangulation methods

Cited by 113 publications

References 5 publications

Indoor Positioning Based on Bluetooth Low-Energy Beacons Adopting Graph Optimization

Indoor Positioning Based on Bluetooth Low-Energy Beacons Adopting Graph Optimization

A State-of-the-Art Survey of Indoor Positioning and Navigation Systems and Technologies

Digitaler Zwilling Baustelle – Baustellenüberwachung zur automatisierten Zeit‐ und Kostenkontrolle

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