Performance Analysis of UWB Positioning System at the Crossing

Nakamura, Akira; Shimada, Naoto; Itami, Makoto

doi:10.1109/itsc.2018.8569309

Cited by 5 publications

(2 citation statements)

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“…Indoor localization has been extensively studied for decades. Scholars have adopted various signals to develop related works, including ultra-wideband (UWB) [ 11 , 12 , 13 ], WIFI [ 14 , 15 , 16 ], Radio Frequency Identification (RFID) [ 17 , 18 ], Bluetooth [ 19 , 20 ], Geomagnetic sequence [ 21 , 22 ] and Ultrasonic signals [ 3 , 23 ]. Despite the accuracy in special trial sites, they have a few practical limitations that hinder their wide deployment.…”

Section: Related Workmentioning

confidence: 99%

A Low-Cost and Efficient Indoor Fusion Localization Method

Yan

Deng

et al. 2022

Sensors

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Accurate indoor location information has considerable social and economic value in applications, such as pedestrian heatmapping and indoor navigation. Ultrasonic-based approaches have received significant attention mainly since they have advantages in terms of positioning with temporal correlation. However, it is a great challenge to gain accurate indoor localization due to complex indoor environments such as non-uniform indoor facilities. To address this problem, we propose a fusion localization method in the indoor environment that integrates the localization information of inertial sensors and acoustic signals. Meanwhile, the threshold scheme is used to eliminate outliers during the positioning process. In this paper, the estimated location is fused by the adaptive distance weight for the time difference of arrival (TDOA) estimation and improved pedestrian dead reckoning (PDR) estimation. Three experimental scenes have been developed. The experimental results demonstrate that the proposed method has higher localization accuracy in determining the pedestrian location than the state-of-the-art methods. It resolves the problem of outliers in indoor acoustic signal localization and cumulative errors in inertial sensors. The proposed method achieves better performance in the trade-off between localization accuracy and low cost.

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Section: Related Workmentioning

confidence: 99%

A Low-Cost and Efficient Indoor Fusion Localization Method

Yan

Deng

et al. 2022

Sensors

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“…In 2016, Kim and Choi (2016) proposed an automatic landing system for UAS based on the UWB, optimized the geometric structure of the UWB anchor in the network, and achieved a more accurate positioning performance for the UAS landing process. In 2018, Nakamura et al (2018) studied a pedestrian positioning system based on UWB ranging. In this system, the base station receiving the UWB signals transmitted by the pedestrians was connected to the traffic lights, and the locations of pedestrians was estimated by the least square method using the distance estimated by the UWB ranging scheme.…”

Section: Introductionmentioning

confidence: 99%

Research on real-time elimination of UWB radar ranging abnormal value data

Yan

Liu

Xin

et al. 2020

Preprint

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Abstract. For indoor positioning, ultra-wideband (UWB) radar comes to the forefront due to its strong penetration, anti-jamming, and high precision ranging abilities. However, due to the complex indoor environment and disorder of obstacles, the problems of diffraction, penetration, and ranging instability caused by UWB radar signals also emerge. During the experiment of indoor positioning with UWB radar ranging module P440, it was found that the distance information measured in a short time was unstable, because of the complex indoor environment and unpredictable noise signal. Therefore, the abnormal value migration of the positioning trajectory occurred in real-time positioning. To eliminate this phenomenon and provide more accurate results, the abnormal values need to be removed. It is not difficult to eliminate abnormal value accurately based on a large number of data, but it is still a difficult problem to ensure the stability of the positioning system by using a small amount of measurement data in a short time to eliminate abnormal value in real-time ranging data. Thus, this paper focuses on the experimental analysis of a UWB-based indoor positioning system. To improve the stability of UWB radar ranging data and increase the overall accuracy, this paper studies a large number of UWB radar ranging data by using high-frequency ranging instead of mean value to train estimation model. Based on the Gaussian function outlier detection, abnormal values are eliminated. By using the training distance estimation model and estimating the distance value, the ranging error obtained is nearly 50 % lower than the peak and mean ranging errors in general.

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