Auswahl der wissenschaftlichen Literatur zum Thema „DWM1000“

Wearable indoor localization can now find applications in a wide spectrum of fields, including the care of children and the elderly, sports motion analysis, rehabilitation medicine, robotics navigation, etc. Conventional inertial measurement unit (IMU)-based position estimation and radio signal indoor localization methods based on WiFi, Bluetooth, ultra-wide band (UWB), and radio frequency identification (RFID) all have their limitations regarding cost, accuracy, or usability, and a combination of the techniques has been considered a promising way to improve the accuracy. This investigation aims to provide a cost-effective wearable sensing solution with data fusion algorithms for indoor localization and real-time motion analysis. The main contributions of this investigation are: (1) the design of a wireless, battery-powered, and light-weight wearable sensing device integrating a low-cost UWB module-DWM1000 and micro-electromechanical system (MEMS) IMU-MPU9250 for synchronized measurement; (2) the implementation of a Mahony complementary filter for noise cancellation and attitude calculation, and quaternions for frame rotation to obtain the continuous attitude for displacement estimation; (3) the development of a data fusion model integrating the IMU and UWB data to enhance the measurement accuracy using Kalman-filter-based time-domain iterative compensations; and (4) evaluation of the developed sensor module by comparing it with UWB- and IMU-only solutions. The test results demonstrate that the average error of the integrated module reached 7.58 cm for an arbitrary walking path, which outperformed the IMU- and UWB-only localization solutions. The module could recognize lateral roll rotations during normal walking, which could be potentially used for abnormal gait recognition.

Nowadays, with the development of ultra-wide band antennas and internet of thing technologies, tracing systems are being developed in many fields such as security, health, mining and transportation. The accuracy location estimation issue is becoming very important in areas of application where occupational health and safety are high. In these applications, the transfer of information between the target and the manager, whose location must be accuracy known, has become indispensable. Especially when the target person is human, the movement parameters such as speed, acceleration, position and altitude compose the calculation parameters of the central management system. The information to be sent by the worker in emergency situations and warnings explain the need for real-time location systems to avoid a possible occupational accident. This paper includes real-time location system structure and improved accuracy location control algorithm, which are being used in occupational health and safety, hospital, storage, mine and tracing areas. The real-time location system was designed using a DWM1000 location sensor module with an ultra-wide band integrated antenna. Product usage time has been extended in designed real-time location cards with low power consuming processors. An accuracy positioning control algorithm has been improved to quickly and exactly locate the target to be tracked. With this algorithm, a new approach to real-time location systems has been introduced and worker tracing, information and warning systems are made with fast response time. The control cards developed in a sample workspace were tested and the application results on the developed computer virtual map interface were given.

A unified architecture for indoor and outdoor location determination in the IoT domain is presented in this work. Two empirical scenarios (indoor and outdoor) with their associated techniques have been proposed and successfully deployed. The selected physical location for interior experience has been a classroom of the Facultad de Ciencias Exactas, Químicas y Naturales (FCEQyN) from Universidad Nacional de Misiones (UNaM). The network has been set by deploying a set of Decawave DWM1001 nodes, a new radio frequency communications product from the Decawave ScenSor family that accomplish with communication methods as Ultrawideband (UWB) and Bluetooth Low Energy (BLE). For the outdoor scenario, a livestock production farm of 234 ha (2,34.106 m2) near the city of Posadas has been selected. In this physical facility, devices based on 2.4 GHz XBee Pro S2, compatible with ZigBee and IEEE 802.15.4, have been deployed. For the location process of the nodes, the trilateration method has been used. While in indoors essays an approximate bias of 7.10-2 m has been achieved, outdoors trilateration outcomes expose indeterminacy between 35 m and 98 m.

This thesis deals with the use of spatial awareness methods within technologies designed for creation of short-range wireless sensor networks. The thesis analyzes several techniques that can be used to estimate position of objects within the sensor network. For a practical solution, a method based on measuring the time differences of the sent messages was chosen. A circuit implementation of a network node based on the DW1000 chip, which works on ultra-wideband transmission technology, was implemented. A sensor network with the appropriate user application for its operation and display of localization results was also implemented.

This thesis focuses on the design and implementation of the wireless localization module, using UWB technology with emphases on low-power firmwre based on RTOS. Wireless localization is based on TDoA algorithm.  The resulting HW module is designed as a four layer PCB, based on MCU crf52832 (ARM Cortex M4) and UWB module DevaWave DW1000. Firmware is implemented using FreeRTOS with emphasis on low power consumption. For hardware implementation, Eagle CAD was used. Firmware is implemented in C and Assembly programming languages.