Distributed local positioning system using DWM1000 location chip

Novoselov, Sergiy; Donskov, Oleksandr

doi:10.1109/infocommst.2017.8246445

Cited by 17 publications

(6 citation statements)

References 3 publications

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“…На сьогодні використовуються проєкти із побудови локальних систем позиціонування на основі спеціалізованих радіочастотних датчиків, наприклад, DW1000 [1], або на основі технології інфрачервоного випромінювання [2].…”

Section: вступunclassified

Determining the coordinates of a mobile robot in an industrial space using BLE technology based on RSSI data received from base stations

Nevliudov¹,

Novoselov²,

Sychova³

et al. 2022

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Existing global positioning technologies cannot be applied indoors, where the signal from satellites or communication towers is significantly reduced or completely absent due to signal weakening in the walls of the building. Wireless network technologies such as Bluetooth or Wi-Fi can also be used in the process of local determining the mobile platforms position in industrial premises. But such methods have a problem with providing the required accuracy. The relevance of these studies is associated with solving the problem of local positioning of mobile robots in a room with an accuracy of ten centimeters. The article presents a comparative analysis of determining coordinates’ principles by the AOA, TOA, TDOA and RSSI methods. It is proposed to use BLE technologies based on the RSSI data received from base stations. Using the triangulation method, formulas are obtained for solving the problem of determining the coordinates of an object moving in space. The software and hardware complex architecture has been developed. It is proposed to use ESP32 modules as base radio stations. The RSSI value is very unstable, so the positioning accuracy will depend on the number of base stations and the additional software tools used.

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Section: вступunclassified

Determining the coordinates of a mobile robot in an industrial space using BLE technology based on RSSI data received from base stations

Nevliudov¹,

Novoselov²,

Sychova³

et al. 2022

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“…The DWM1000 is the critical component of the self-positioning module. It provides the function of timestamping and transmission times precise controlling and can be used in the two-way ranging with an error within 10 cm [32][33][34][35][36]. Here, the two-way ranging is realized by the double-sided two-way ranging algorithm executed in the STM32 Microcontroller Unit (MCU) to achieve the self-positioning of the Golay-coded radars.…”

Section: The Additional Modules For Scanning Operating Modementioning

confidence: 99%

Detection of Quasi-Static Trapped Human Being Using Mono-Static UWB Life-Detection Radar

Yan

Fang

2021

Applied Sciences

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In practical situations such as hostage rescue, earthquake and other similar events, the ultra-wideband (UWB) life-detection radar echo response from the respiration motion of the trapped person is always quasi-/non-periodic in respiration frequency or very weak in respiration amplitude, which can be called quasi-static vital sign. Although it is an extremely difficult task, considering the economic cost, the detection ability of the traditional UWB life-detection radars with only a pair of transceiver antennas is desired to be enhanced for locating the quasi-static trapped human being. This article proposes two different detection methods for quasi-static trapped human beings through the single/multiple observation points, which corresponds to the single-/multi-station radar operating mode, respectively. Proof-of-principle experiments were carried out by our designed radar prototypes, validating the effectiveness of the proposed methods.

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“…We will consider the components of an automated system as agents of a distributed process control system [2].…”

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confidence: 99%

“…Currently, wireless sensor networks are increasingly used in industrial automation systems for monitoring, control, and local positioning of mobile robots [1,2]. Their main advantage is a flexible architecture and minimal costs for their installation and operation.…”

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confidence: 99%

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Simulation of the sensor network of base stations in a local positioning system in intelligent industries

Mospan

Fomovskaya

2020

Science, Engineering and Technology: Global Trends, Problems and Solutions

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Communication between equipment, sensors, mobile robots and even products produced in the industry within the concept of Industry 4.0 is at the forefront. In the intelligent production of equipment, controllers and sensors interact with each other and directly with Ethernet or in the cloud [1]. Decentralization in production management in the ideology of Industry 4.0 allows to process data directly into sensors. The sensors process the collected data to transmit information, which is then processed in Ethernet or in a cloud service for the next process. Cloud service is becoming more important for process management. The main computing power is moved to the periphery. This makes production more flexible and dynamic, which can respond to changes individually and quickly at any time. In intelligent manufacturing, the work of moving parts between equipment is performed by an intelligent vehicle. This equipment always communicates with the cloud and loads from it the manufacturing technology of a particular part. The manufacturing technology (processing) of the part is always stored in the cloud and is available by a unique part identifier. At

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Distributed local positioning system using DWM1000 location chip

Cited by 17 publications

References 3 publications

Determining the coordinates of a mobile robot in an industrial space using BLE technology based on RSSI data received from base stations

Determining the coordinates of a mobile robot in an industrial space using BLE technology based on RSSI data received from base stations

Detection of Quasi-Static Trapped Human Being Using Mono-Static UWB Life-Detection Radar

Simulation of the sensor network of base stations in a local positioning system in intelligent industries

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