An Adaptive Weighted Wi-Fi FTM-Based Positioning Method in an NLOS Environment

Si, Minghao; Wang, Yunjia; Seow, Chee Kiat; Cao, Hongji; Liu, Hui; Huang, Lu

doi:10.1109/jsen.2021.3124275

Cited by 12 publications

(9 citation statements)

References 35 publications

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“…The fingerprint-based Wi-Fi location approach is mostly implemented using received signal strength (RSS) or channel status information (CSI). In comparison to RSS-based solutions, this new technology does not require offline training, which saves significant labour [ 57 ].…”

Section: 3d Localization Techniquesmentioning

confidence: 99%

A Survey of 3D Indoor Localization Systems and Technologies

Sesyuk

Ioannou

Raspopoulos

2022

Sensors

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Indoor localization has recently and significantly attracted the interest of the research community mainly due to the fact that Global Navigation Satellite Systems (GNSSs) typically fail in indoor environments. In the last couple of decades, there have been several works reported in the literature that attempt to tackle the indoor localization problem. However, most of this work is focused solely on two-dimensional (2D) localization, while very few papers consider three dimensions (3D). There is also a noticeable lack of survey papers focusing on 3D indoor localization; hence, in this paper, we aim to carry out a survey and provide a detailed critical review of the current state of the art concerning 3D indoor localization including geometric approaches such as angle of arrival (AoA), time of arrival (ToA), time difference of arrival (TDoA), fingerprinting approaches based on Received Signal Strength (RSS), Channel State Information (CSI), Magnetic Field (MF) and Fine Time Measurement (FTM), as well as fusion-based and hybrid-positioning techniques. We provide a variety of technologies, with a focus on wireless technologies that may be utilized for 3D indoor localization such as WiFi, Bluetooth, UWB, mmWave, visible light and sound-based technologies. We critically analyze the advantages and disadvantages of each approach/technology in 3D localization.

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Section: 3d Localization Techniquesmentioning

confidence: 99%

A Survey of 3D Indoor Localization Systems and Technologies

Sesyuk

Ioannou

Raspopoulos

2022

Sensors

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“…The phase of the k-th subcarrier from the p-th multipath to the array antenna is set as φ k,p ,where φ k,0 is the phase of the LOS path. The phase difference between NLOS path and LOS path can be expressed as Equation (18).…”

Section: Qfbmentioning

confidence: 99%

“…For indoor multipath effect, there are three main processing methods. First way is trying to avoid the influence of multipath signals during positioning [13,16], the second way is to make full use of multipath signals [4,17,18], and the third way is to use multipath signals indirectly according to the characteristics of the environment, like some algorithms which is based on fingerprint information and machine learning [14,15]. In the future indoor positioning technology, a major trend is to combine these principles to achieve high-precision positioning.…”

Section: Introductionmentioning

confidence: 99%

A 3D Indoor Positioning Method of Wireless Network with Single Base Station in Multipath Environment

Wang

Zhao

Zheng

2022

Wireless Communications and Mobile Computing

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The proliferation of indoor location-based services has increased the demand of indoor positioning technology. Severe multipath and coherence effects are the difference between signal propagation indoors and outdoors. Most existing indoor localization methods build their models in 2-dimensional space and try to avoid the influence of multipath. We propose a method to realize 3-dimensional indoor positioning with single base station by using multipath channel. The angles of multipath coherent signals are estimated by MIMO antenna and the delays are estimated by OFDM signal. To avoid the complicated calculation in joint estimation of angles and delays in 3-dimensional space, the angles and delays are estimated separately and matched by the proposed algorithm. The line-of-sight channel is differentiated by time delay, and the reflection paths for non-line-of-sight channels are established with angle information and indoor maps. Finally, combine the angle information of the reflection paths and the line-of-sight path to obtain the target position in 3-dimensional indoor space. We verified the method through simulation in an indoor space of 6 m × 8 m × 4.5 m . The positioning errors are submeter level in 95 % cases and less than 0.4m in 60 % cases. The proposed method requires only one base station and can be applied in most wireless networks. Compared with existing indoor localization methods, it has lower computational complexity and higher application potential.

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“…However, the positioning accuracy of GNSS will be greatly reduced or even invalid in indoor environments because the satellite signal is blocked by the building. Accordingly, researchers are also exploring the indoor positioning potential of wireless signal, such as Wi-Fi [2][3][4][5][6], Bluetooth [7,8], UWB [9,10], ultrasound [11][12][13], infrared [14], and visible light [15]. Wi-Fi positioning technology has wide coverage and does not require additional equipment.…”

Section: Introductionmentioning

confidence: 99%

Strong Tracking Particle Filter Based on the Chi-Square Test for Indoor燩ositioning

Qian¹,

Li²,

Qi³

et al. 2023

Computer Modeling in Engineering &Amp; Sciences

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In recent years, a number of wireless indoor positioning (WIP), such as Bluetooth, Wi-Fi, and Ultra-Wideband (UWB) technologies, are emerging. However, the indoor environment is complex and changeable. Walls, pillars, and even pedestrians may block wireless signals and produce non-line-of-sight (NLOS) deviations, resulting in decreased positioning accuracy and the inability to provide people with real-time continuous indoor positioning. This work proposed a strong tracking particle filter based on the chi-square test (SPFC) for indoor positioning. SPFC can fuse indoor wireless signals and the information of the inertial sensing unit (IMU) in the smartphone and detect the NLOS deviation through the chi-square test to avoid the influence of the NLOS deviation on the final positioning result. Simulation experiment results show that the proposed SPFC can reduce the positioning error by 15.1% and 12.3% compared with existing fusion positioning systems in the LOS and NLOS environment.

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An Adaptive Weighted Wi-Fi FTM-Based Positioning Method in an NLOS Environment

Cited by 12 publications

References 35 publications

A Survey of 3D Indoor Localization Systems and Technologies

A Survey of 3D Indoor Localization Systems and Technologies

A 3D Indoor Positioning Method of Wireless Network with Single Base Station in Multipath Environment

Strong Tracking Particle Filter Based on the Chi-Square Test for Indoor燩ositioning

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