Robust methods for AOA geo-location in a real-time indoor WiFi system

Lim, Chin-Heng; Ng, Boon Poh; Duan, Da.

doi:10.1080/17489720802415189

Cited by 15 publications

(8 citation statements)

References 9 publications

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“…These are mainly the unknown and possibly variable positions of the APs and non-line-of-sight conditions. Triangulation with IEEE 802.11 signals was studied in [30,33,37], and might become important again with further deployment of the IEEE 802.11n standard and antenna arrays in mobile devices. [31] proposed a WPS relying on beamforming, that estimates the mobile device position from WLAN signals received from a transmitting beamformer, whose location and calibration pattern is known.…”

Section: Wlanmentioning

confidence: 99%

A survey of hybridisation methods of GNSS and wireless LAN based positioning system

Richter

Toledano‐Ayala

Soto-Zarazúa

et al. 2014

Journal of Ambient Intelligence and Smart Environments

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Self-localisation has become a matter of course in our daily life. The emerging market of mobile devices still boosts the demand for seamless, ubiquitous positioning. The repertoire of sensors serviceable for localisation provided by current mobile devices is large; however the main positioning systems used today are based on wireless local area networks (WLAN), cellular networks and certainly global navigation satellite systems (GNSS). Because of the accuracy, the vast deployment and the channel characteristics, researchers have been focused on WLAN based positioning systems (WPS) in particular, to achieve seamless positioning. This paper reviews the latest data fusion approaches to seamless positioning by GNSS and WPS. In accordance to the level of data fusion, several approaches are categorised and briefly presented, differences in performance of these approaches are highlighted and future challenges identified.

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Section: Wlanmentioning

confidence: 99%

A survey of hybridisation methods of GNSS and wireless LAN based positioning system

Richter

Toledano‐Ayala

Soto-Zarazúa

et al. 2014

Journal of Ambient Intelligence and Smart Environments

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“…At present, common ranging methods include TOA, 20 RSSI, 21 TDOA 12 and AOA. 14 Reference 25 proposed a combined position technology of TOA and AOA. There are plenty of obstacles between the tag and the anchor in buildings, where multi-path e®ect and the spreading of NLOS are obvious, they a®ected location accuracy and made positioning very di±cult.…”

Section: Introductionmentioning

confidence: 99%

Accuracy Improvement of Indoor Real-Time Location Tracking Algorithm for Smart Supermarket Based on Ultra-Wideband

Feldhaus

Feng

et al. 2019

Int. J. Patt. Recogn. Artif. Intell.

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Collecting data like location information is an essential part of concepts like the “IoT” or “Industry 4.0”. In the case of the development of a precise localization system and an integrated navigation system, indoor location technology receives more and more attention and has become a hot research topic. Common indoor location techniques are mainly based on wireless local area network, radio frequency tag, ZigBee technology, Bluetooth technology, infrared technology and ultra-wideband (UWB). However, these techniques are vulnerable to various noise signals and indoor environments, and also the positioning accuracy is easily affected by the complicated indoor environment. We studied the problem of real-time location tracking based on UWB in an indoor environment in this paper. We have proposed a combinational filtering algorithm and an improved Two-Way Ranging (ITWR) method for indoor real-time location tracking. The simulation results prove that the real-time performance and high accuracy of the presented algorithm can improve location accuracy. The experiment shows that the combinational algorithm and ITWR method which are applied to the positioning and navigation of the smart supermarket, have achieved quiet good results in positioning accuracy. The average positioning error is less than 10[Formula: see text]cm, some of the improvements can elevate the positioning accuracy by 17.5%. UWB is a suitable method for indoor real-time location tracking and has important theoretic value and practical significance.

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“…Many different indoor positioning technologies have been developed to obtain position information in different indoor environments. According to the information sources, the common technologies for indoor positioning can be divided into Wi-Fi [2][3][4], Ultra Wide Band (UWB) [5,6], Ultrasound [7], and Micro-Electro-Mechanical Systems (MEMS) [8] etc.…”

Section: Introductionmentioning

confidence: 99%

Performance Enhancement of Indoor Pedestrian Positioning with Two-Order Bayesian Estimation Based on EKF and PF

2017

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Abstract:To improve the accuracy of indoor pedestrian positioning, an indoor pedestrian positioning system with two-order Bayesian estimation based on Extended Kalman Filter (EKF) and Particle Filter (PF) is proposed in this paper. The presented system combines a foot-mounted inertial sensor, a Wi-Fi propagation model and building structure to make good use of these information resources. There are two updates in this system in order to limit the accumulative errors of inertial sensors. In the first update, the inertial navigation system (INS) is the main system in the calculation of pedestrian positioning, and Zero-velocity update (ZUPT) is introduced as the reference to correct the accumulative errors of INS based on EKF. To further limit the accumulative errors of inertial sensors, the estimated results obtained from the first update, including horizontal position information, are introduced as the observations based on PF in the second update; Pedestrian Dead Reckoning (PDR) is the main system in the calculation of pedestrian positioning, and the weight of particles is determined by the Wi-Fi propagation model, building structure information and output of the first update. The results show that the accuracy of positioning is effectively increased.

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Robust methods for AOA geo-location in a real-time indoor WiFi system

Cited by 15 publications

References 9 publications

A survey of hybridisation methods of GNSS and wireless LAN based positioning system

A survey of hybridisation methods of GNSS and wireless LAN based positioning system

Accuracy Improvement of Indoor Real-Time Location Tracking Algorithm for Smart Supermarket Based on Ultra-Wideband

Performance Enhancement of Indoor Pedestrian Positioning with Two-Order Bayesian Estimation Based on EKF and PF

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