A Robust Localization Algorithm Based on NLOS Identification and Classification Filtering for Wireless Sensor Network [PDF]
Sensors, 2020 With the rapid development of information and communication technology, the wireless sensor network (WSN) has shown broad application prospects in a growing number of fields. The non-line-of-sight (NLOS) problem is the main challenge to WSN localization,
Long Cheng +3 more
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NLOS Identification and Mitigation Using Low-Cost UWB Devices [PDF]
Sensors, 2019 Indoor location systems based on ultra-wideband (UWB) technology have become very popular in recent years following the introduction of a number of low-cost devices on the market capable of providing accurate distance measurements.
Valentín Barral +3 more
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Mobile Location with NLOS Identification and Mitigation Based on Modified Kalman Filtering [PDF]
Sensors, 2011 In order to enhance accuracy and reliability of wireless location in the mixed line-of-sight (LOS) and non-line-of-sight (NLOS) environments, a robust mobile location algorithm is presented to track the position of a mobile node (MN).
Wei Ke, Lenan Wu
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NLOS Identification and Error Compensation Method for UWB in Workshop Scene [PDF]
SensorsTo address the frequent safety incidents caused by positioning uncertainty due to NLOS (Non-Line-of-Sight) interference in complex manufacturing workshop environments, this paper aims to achieve high-precision distance measurement and positioning in ...
Yu Su +5 more
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Domain-Adversarial Neural Network for UWB NLOS Identification in Multiple Environments [PDF]
SensorsAccurate recognition of Line-of-Sight (LOS) and Non-Line-of-Sight (NLOS) signals is crucial for mitigating positioning errors and improving the positioning performance of Ultra-Wideband (UWB) localization systems.
Suying Jiang +3 more
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NLOS Identification and Positioning Algorithm Based on Localization Residual in Wireless Sensor Networks [PDF]
Sensors, 2018 The problem of target localization in WSN (wireless sensor network) has received much attention in recent years. However, the performance of traditional localization algorithms will drastically degrade in the non-line of sight (NLOS) environment ...
Jingyu Hua +4 more
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NLOS Identification and Correction Based on Multidimensional Scaling and Quasi-Accurate Detection
IEEE Access, 2019 In wireless sensor networks, most of the previous NLOS identification is based on error estimation model established by raw data. In this paper, we propose a method of NLOS identification named NIMQ based on multidimensional scaling (MDS) and Quasi ...
Yuhong Zhu +6 more
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A Wi-Fi FTM-Based Indoor Positioning Method with LOS/NLOS Identification
Applied Sciences, 2020 In recent years, many new technologies have been used in indoor positioning. In 2016, IEEE 802.11-2016 created a Wi-Fi fine timing measurement (FTM) protocol, making Wi-Fi ranging more robust and accurate, and providing meter-level positioning accuracy ...
Minghao Si +4 more
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Identification of NLOS and Multi-Path Conditions in UWB Localization Using Machine Learning Methods
Applied Sciences, 2020 In ultra-wideband (UWB)-based wireless ranging or distance measurement, differentiation between line-of-sight (LOS), non-line-of-sight (NLOS), and multi-path (MP) conditions is important for precise indoor localization.
Cung Lian Sang +5 more
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ISPRS International Journal of Geo-Information, 2018 In recent years, location-based services have been receiving increasing attention because of their great development prospects. Researchers from all over the world have proposed many solutions for indoor positioning over the past several years.
Ke Han +3 more
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