Indoor positioning in Bluetooth networks using fingerprinting and lateration approach

Subhan, Fazlı; Hasbullah, Halabi; Rozyyev, Azat; Bakhsh, Sheikh Tahir

doi:10.1109/icisa.2011.5772436

Cited by 132 publications

(65 citation statements)

References 10 publications

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“…Furthermore, the respective position information and signal strengths from the different locations are collected for position estimation purposes (H. Liu et al, 2007). The accuracy obtained by this method is higher than the RF-based indoor positioning technique that determines object position based on RSS as presented by Subhan et al (2011). In the online phase, grid points and collected position information compute the most feasible position of the object (H. Liu et al, 2007).…”

Section: Scene Analysis and Fingerprintingmentioning

confidence: 99%

“…Just like triangulation, trilateration (or lateration) also uses the geometric properties of triangles to estimate the position of a target object (H. Liu et al, 2007;Subhan et al, 2011). However, in this case, distance measurements relative to three known reference points are used to determine position by computing the attenuation of the transmitted signal (Amundson & Koutsoukos, 2009;Da Zhang et al, 2010).…”

Section: Trilaterationmentioning

confidence: 99%

“…Figure 5 shows the TDOA positioning method. Unlike the angular and distance-based metrics, RSSI is a measure of the power level of the Received Signal Strength (RSS) present in a radio infrastructure that can be used to estimate the distance between mobile devices (Subhan, Hasbullah, Rozyyev, & Bakhsh, 2011). In other words, the RSSI approach measures the signal attenuation of transmitted signals to calculate the signal strength reduction or loss due to propagation, hence distance between mobile devices can be estimated (Ibid.).…”

Section: Time DI Erence Of Arrival (Tdoa)mentioning

confidence: 99%

“…This results in high accuracy like TOA, but at a cost of higher hardware complexity (Ibid.). The accuracy depends on the signal received and the environmental conditions (Subhan et al, 2011).…”

Section: Trilaterationmentioning

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

143

129

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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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Section: Scene Analysis and Fingerprintingmentioning

confidence: 99%

Section: Trilaterationmentioning

confidence: 99%

Section: Time DI Erence Of Arrival (Tdoa)mentioning

confidence: 99%

Section: Trilaterationmentioning

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

143

129

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show abstract

“…The use of RF sensing technology for indoor position estimation techniques introduces some challenges such as the effect of signal attenuation and multi-path effects, which occur due to the reflections of signals in indoor environments [7].…”

Section: Introductionmentioning

confidence: 99%

Extended Gradient Predictor and Filter for smoothing RSSI

Subhan

Ahmed

Ashraf

2014

16th International Conference on Advanced Communication Technology

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Abstract-This paper presents the design of an Extended Gradient Predictor and Filter for smoothing Received Signal Strength Indicator (RSSI). In wireless communication RSSI is a measurement of power in received signal, which is a parameter used for handover and position estimation purpose. In real time applications such as handover and position estimation requires continuous reception of RSSI measurements. Due to the effect of noise, variations occur in the received signal, which sometimes produce communication holes. In that case, RSSI measurements become zero, which produces distance estimation error. In order to minimize the effect communication, an existing Gradient filter is modified based on most recent RSSI measurement received. The advantage of the proposed extended Gradient RSSI predictor and filter is that it predicts and filters RSSI values in the presence of communication holes for real time object tracking. The performance of proposed extended Gradient RSSI predictor and filter is tested using simulated and real-time RSSI measurements using Bluetooth technology, which shows better performance in case of communication holes occur.

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Performance evaluation of bluetooth low energy in indoor positioning systems

Contreras

Castro

Torre

2014

Trans. Emerging Tel. Tech.

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Local positioning systems (LPS) are attracting much attention, both commercially and scientifically, as they represent a natural extension of global positioning systems to indoor scenarios. Amongst all the viable wireless technologies used in this context, WiFi and Bluetooth are the most widely extended. These technologies are also chosen for their simplicity, low cost and integration into mobile devices. The appearance of the new Bluetooth specification, named Bluetooth low energy (BLE), and the emergence of new popular devices that incorporate it, opens the door to new LPS wireless solutions based on BLE. Here, we evaluate the viability of BLE for indoor positioning scenarios. In addition, we develop a framework to analyse, understand and help migrate previous LPS systems, based on other technologies, to BLE. We show experimentally that, with proper configuration of the BLE devices, great performance can be obtained in terms of discovery time and energy consumption. Copyright © 2014 John Wiley & Sons, Ltd.

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Indoor positioning in Bluetooth networks using fingerprinting and lateration approach

Cited by 132 publications

References 10 publications

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

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

Extended Gradient Predictor and Filter for smoothing RSSI

Performance evaluation of bluetooth low energy in indoor positioning systems

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