Research on Seamless Positioning of Power Wearables Based on GPS/UWB Combination

Liu, Guanke; Yuan, Jianan; Wen, Yifan; Zhang, Yanling

doi:10.1109/ccet.2018.8542426

Cited by 10 publications

(4 citation statements)

References 2 publications

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“…GPS, GLONASS and Galileo) provide satellite-based positioning estimations for outdoor environments within an acceptable error range. However, the signal suffers from multiple degradation factors, such as multipath fading, path loss and shadowing, which reduce its applicability in indoor positioning applications [149], [185]. Weights space = 𝒘 𝟏 𝒘 𝟐 ⋯ 𝒘 𝑵 𝑻 FIGURE 9.…”

Section: Advances In Sensor Fusion Techniquesmentioning

confidence: 99%

Precision Positioning for Smart Logistics Using Ultra-Wideband Technology-Based Indoor Navigation: A Review

et al. 2022

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Logistics is an important driver for the competitiveness of industries and material supply. The development of smart logistics, powered by precise positioning and communication technologies can significantly improve the efficiency of logistics. The emerging technology of ultra-wideband (UWB) precision positioning has attracted significant attention throughout the previous decade owing to its promising capabilities over other radio frequency-based indoor localisation systems. In addition, UWB is characterised by large bandwidth and data rate, short message length, low transmission power and high penetration capability, which are all favourable for indoor positioning applications. However, UWB localisation technology faces several challenges that are somewhat similar to other technologies, such as mitigating errors that originate from non-line-of-sight (NLOS) situations and tackling signal interference in dense environments, and when required to operate in extreme conditions. This paper reviews the most recent advances made in UWB positioning systems over the last five years, with a focus on high-ranking articles. In addition to going through more conventional solutions to UWB challenges, modern solutions, which involve the use of machine learning and sensor data fusion, are discussed. We highlight the most promising findings of the recently implemented and foreseen UWB positioning systems by providing a summary of each reviewed article. Additionally, we address a major challenge that faces the UWB positioning technology: NLOS situations, focusing on some proposed remedies such as multi-sensor fusion and machine learning. As an application, this study introduces how UWB technology promotes smart logistics by offering indoor positioning to improve efficiencies in the delivery of goods from the source to the customer. Furthermore, it demonstrates the benefits of UWB technology for accurate positioning and tracking of both stationary and moving items, and machinery in an indoor logistics environment.

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Section: Advances In Sensor Fusion Techniquesmentioning

confidence: 99%

Precision Positioning for Smart Logistics Using Ultra-Wideband Technology-Based Indoor Navigation: A Review

et al. 2022

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“…At the same time, aiming at the richness of multi-sensor information, the accurate construction of a fusion model is one of the key problems to realize multi-sensor high-precision positioning. Liu et al [29] proposed to adaptively adjust the GPS and UWB variance matrix by using the Hermit variance component estimation algorithm according to different data sources. The adaptively robust EKF algorithm adjusts the random model to resist the interference of various gross errors on the positioning results, so it is used to calculate the parameters when multi-sensor positioning is carried out [30][31][32].…”

Section: Introductionmentioning

confidence: 99%

BDS/GPS/UWB Adaptively Robust EKF Tightly Coupled Navigation Model Considering Pedestrian Motion Characteristics

et al. 2022

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In the indoor and outdoor transition area, due to its poor availability in a complex positioning environment, the BDS/GPS SPP (single-point positioning by combining BeiDou Navigation Satellite System (BDS) and Global Positioning System (GPS)) is unable to provide an effective positioning service. In view of the poor positioning accuracy and low sampling rate of the BDS/GPS SPP and the gross error, such as the non-line-of-sight error of UWB (Ultra-Wide-Band), making the accuracy of positioning results poor, a BDS/GPS/UWB tightly coupled navigation model considering pedestrian motion characteristics is proposed to make positioning results more reliable and accurate in the transition area. The core content of this paper is divided into the following three parts: (1) Firstly, the dynamic model and positioning theories of BDS/GPS SPP and UWB are introduced, respectively. (2) Secondly, the BDS/GPS/UWB tightly coupled navigation model is proposed. An environment discrimination factor is introduced to adaptively adjust the variance factor of the system state. At the same time, the gross error detection factor is constructed by using the a posteriori residuals to make the variance factor of the measurement information of the combined positioning system able to be adjusted intelligently for the purpose of eliminating the interference of gross error observations on positioning results. On the other hand, pedestrian motion characteristics are introduced to establish the constraint equation to improve the consistency of positioning accuracy. (3) Thirdly, the actual measured data are used to demonstrate and analyze the reliability of the positioning model proposed by this paper. The experimental results show that the BDS/GPS/UWB tightly coupled navigation model can effectively improve the accuracy and availability of positioning. Compared with BDS/GPS SPP, the accuracy of this model is improved by 57.8%, 76.0% and 56.5% in the E, N and U directions, respectively.

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“…The experimental data are transmitted back to the cloud platform through 3G/4G (the 3rd/4th Generation mobile communication technology) in real time to calculate the coordinates of the mobile station. Through the experimental test on the standard football field, the positioning result of the mobile station can reach 0.34 m. The seamless positioning technical methods base on GNSS, UWB and other sensors are put forward by [29,30,31]. Similar to other methods, the UWB anchors are needed to be prepared very well before the positioning activities.…”

Section: Introductionmentioning

confidence: 99%

An Emergency Seamless Positioning Technique Based on ad hoc UWB Networking Using Robust EKF

Han

Wang

Liu

et al. 2019

Sensors

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In this paper, a new emergency positioning technique is proposed based on ad hoc GNSS/UWB (Global Navigation Satellite System/Ultra-Wideband) network. The main innovations of the program are reflected in two aspects. First of all, a unified coordinate frame for indoor and outdoor environments is constructed dynamically with GNSS/UWB integration. In the outdoor environments, the high accuracy positioning can be achieved with GNSS/UWB equipment. The high-accuracy indoor coordinate is obtained by measuring the range observations between adjacent network nodes and outdoor GNSS/UWB nodes, and the range information of the UWB network is transmitted to the cloud server center. A network adjustment algorithm is proposed to improve the positioning accuracy of the UWB network. Secondly, a UWB indoor location algorithm based on robust EKF (Extended Kalman Filter) is proposed. By analyzing the transfer characteristics of gross error in EKF model, a new robust EKF model is established. The model is constructed based on the statistical characteristics of redundant observation components and prediction residual. The robust equivalent gain matrix is constructed, and the robust positioning solution of UWB is obtained with iteration. The global test is carried out first to further improve the real-time operation efficiency. Finally, a field indoor and outdoor seamless positioning experiment was carried out to verify the effectiveness of the proposed algorithm. The results show that the positioning accuracy of UWB emergency network nodes (anchors) can reach 0.35 m. Based on the network, the positioning accuracy of the tag can reach 0.38 m by applying the improved robust EKF positioning algorithm, which is improved by 20.83% and 73.43% compared with standard EKF and least square method, respectively.

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Research on Seamless Positioning of Power Wearables Based on GPS/UWB Combination

Cited by 10 publications

References 2 publications

Precision Positioning for Smart Logistics Using Ultra-Wideband Technology-Based Indoor Navigation: A Review

Precision Positioning for Smart Logistics Using Ultra-Wideband Technology-Based Indoor Navigation: A Review

BDS/GPS/UWB Adaptively Robust EKF Tightly Coupled Navigation Model Considering Pedestrian Motion Characteristics

An Emergency Seamless Positioning Technique Based on ad hoc UWB Networking Using Robust EKF

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