Design of the UWB Positioning System Simulator for LOS/NLOS Environments

Paszek, Krzysztof; Grzechca, Damian; Becker, Andreas

doi:10.3390/s21144757

Cited by 13 publications

(10 citation statements)

References 30 publications

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“…L INE-of-sight (LOS)/none-line-of-sight (NLOS) identification is crucial for the ultra-wideband (UWB) positioning system [1]. Many LOS/NLOS identification methods have been proposed to improve accuracy.…”

Section: Introductionmentioning

confidence: 99%

A Lightweight CIR-Based CNN With MLP for NLOS/LOS Identification in a UWB Positioning System

Wang

Šiljak

et al. 2023

IEEE Commun. Lett.

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Implementing line-of-sight (LOS) and none-line-ofsight (NLOS) identification in ultra-wideband (UWB) systems is crucial. Convolutional neural network (CNN) based identification methods can extract higher-level features automatically, but they are based on channel impulse response (CIR)-turned image ingested features that impose calculation complexity and do not make use of manual features due to the data inundation risk. In this letter, we propose a novel multilayer perceptron (MLP)based LOS/NLOS identification algorithm that can utilize both manually extracted features and feature from CNN based on raw CIR inputs with only 7.39% calculation complexity as compared to the traditional image-based CNN. Three experiments, at a teaching building, an office, and an underground mine, were conducted to verify the proposed method's performance. Our proposed features are conducive to LOS/NLOS identification, especially the proposed raw CIR-based feature from the CNN, achieving 26.9% improvement over existing manual features. Furthermore, the proposed method outperformed the traditional image-based CNN with an improvement of 44.16%.

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Section: Introductionmentioning

confidence: 99%

A Lightweight CIR-Based CNN With MLP for NLOS/LOS Identification in a UWB Positioning System

Wang

Šiljak

et al. 2023

IEEE Commun. Lett.

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“…Even when a separate wireless communication infrastructure is dedicated to AGV, it is challenging to predict the number of AGVs and the required communication services that will be required at a given access point at a given moment. The reason for this is the flexibility of logistics tasks, i.e., it is challenging to predict the location of moving AGV [ 10 ], do the path planning [ 11 ] and, in addition to communicating with an MES for the task allocation. among other things [ 12 ].…”

Section: Introductionmentioning

confidence: 99%

Industrial Shared Wireless Communication Systems—Use Case of Autonomous Guided Vehicles with Collaborative Robot

Stój

Fojcik

Cupek

et al. 2022

Sensors

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Dedicated fieldbuses were developed to provide temporal determinisms for industrial distributed real-time systems. In the early stages, communication systems were dedicated to a single protocol and generally supported a single service. Industrial Ethernet, which is used today, supports many concurrent services, but usually only one real-time protocol at a time. However, shop-floor communication must support a range of different traffic from messages with strict real-time requirements such as time-driven messages with process data and event-driven security messages to diagnostic messages that have more relaxed temporal requirements. Thus, it is necessary to combine different real-time protocols into one communication network. This raises many challenges, especially when the goal is to use wireless communication. There is no research work on that area and this paper attempts to fill in that gap. It is a result of some experiments that were conducted while connecting a Collaborative Robot CoBotAGV with a production station for which two real-time protocols, Profinet and OPC UA, had to be combined into one wireless network interface. The first protocol was for the exchange of processing data, while the latter integrated the vehicle with Manufacturing Execution System (MES) and Transport Management System (TMS). The paper presents the real-time capabilities of such a combination—an achievable communication cycle and jitter.

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“…Ultra wide band (UWB) localization technology [1] [2] [3] provides good location information for location-based service applications and has encouraged their widespread use. During the UWB localization process, the localization problem is treated as an optimization problem.…”

Section: Introductionmentioning

confidence: 99%

An Improved Genetic Algorithm for UWB Localization

Zheng¹

2022

JCC

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The UWB localization problem can be mapped as an optimization problem, which can be solved by genetic algorithm. In the localization process, the traditional fitness function does not include the ranging information between tags, resulting in insufficient ranging information and limited improvement of the localization accuracy. In view of this, an improved genetic localization algorithm is proposed. First, a new fitness function is constructed, which not only includes the ranging information between the tag and the base station, but also the ranging information between the tags to ensure that the ranging information is fully utilized in the localization process. Then, the search method based on Brownian motion is adopted to ensure that the improved algorithm can speed up the convergence speed of the localization result. The simulation results show that, compared with the traditional genetic localization algorithm, the improved genetic localization algorithm can reduce the influence of the ranging error on the localization error and improve the localization performance.

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Design of the UWB Positioning System Simulator for LOS/NLOS Environments

Cited by 13 publications

References 30 publications

A Lightweight CIR-Based CNN With MLP for NLOS/LOS Identification in a UWB Positioning System

A Lightweight CIR-Based CNN With MLP for NLOS/LOS Identification in a UWB Positioning System

Industrial Shared Wireless Communication Systems—Use Case of Autonomous Guided Vehicles with Collaborative Robot

An Improved Genetic Algorithm for UWB Localization

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