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Localization of Objects in Wireless Sensor Network Environment
Vícha, Tomáš ; Bidlo, Michal (referee) ; Šimek, Václav (advisor)
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.
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Wireless Localization Module with Low-Power Firmware Based on RTOS
Lipka, Radim ; Bardonek, Petr (referee) ; Šimek, Václav (advisor)
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.
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Comparison of methods for indoor localization
Povolný, Ondřej ; Rozum, Stanislav (referee) ; Frýza, Tomáš (advisor)
The bachelor thesis is in theoretical part focused on the ideas of the localization of people or objects, using the IoT technologies, namely ZigBee and Lora™. The possible methods of localization are mentioned, with the mention of parameters of the used technologies and the overview of existing modules that are obtainable on the market. The result of a practical part is design of PCBs, the basic testing of hardware and software and the analysis of the obtained data.
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Methods for localization of pulsed broadband signal source
Machala, Petr ; Hadinec, Michal (referee) ; Drexler, Petr (advisor)
The topic of this barchelor’s thesis is the analysis of problems regarding localization of partial discharges (PD) and related PD recording, processing and interpretation in time and frequency domain. In majority of cases the occurrence of partial discharges refers to a certain defect in the measured device, therefore in practice (eg large equipment such as oil transformers) it appears to be very useful and economical to determine the exact position, where PDs are formed. To address these complex issues, it is necessary to design the entire measuring chain from PD detection to measured data processing and localization itself. In terms of data processing and PD localization many different localization and detection methods can be applied, some of them are presented in this documentation. These methods are gradually studied, implemented and afterwards tested using the input data of the experiment.
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Possibilities of noise measurement on machine tools and determine their source
Malušek, Pavel ; Šubrt, Kamil (referee) ; Kroupa, Jiří (advisor)
This bachelor’s thesis deals with methods for sound source localization. It also analyzes types of microphones which are used for this purpose. There are detailed described the parameters of the microphones at first, principles of every method and their application in practice then. The aim of this thesis is application of these methods in determining the sound sources on machine tools and evaluation the advantages of individual methods for the specific purpose.
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Localization of moving acoustical sources
Bezdíček, Martin ; Rampl, Ivan (referee) ; Míča, Ivan (advisor)
This master's thesis is focused on localization static (entering semester project) and moving acoustic sources (entering master's thesis) by the help of microphonic arrays. In the first part deal with common problems of localization. Further are here described types of microphonic arrays, simplifying possibilities which delimited this problems and general information about room acoustics. In the next part of this master's thesis are step by step mentioned methods localization of acoustic sources. In practical part were used algorithms: Steered-Beamformer-Based Locators and TDOA-Based Locators. Last part of this master's work includes results of these algorithms.
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Room Occupancy Detection with IoT Sensors
Kolarčík, Tomáš ; Jeřábek, Kamil (referee) ; Pluskal, Jan (advisor)
The aim of this work was to create a module for home automation tools Home Assistant. The module is able to determine which room is inhabited and estimate more accurate position of people inside the room. Known GPS location cannot be used for this purpose because it is inaccurate inside buildings and therefore one of the indoor location techniques needs to be used. Solution based on Bluetooth Low Energy wireless technology was chosen. The localization technique is the fingerprinting method, which is based on estimating the position according to the signal strength at any point in space, which are compared with a database of these points using machine learning. The system can be supplemented with motion sensors that ensure a quick response when entering the room. This system can be deployed within a house, apartment or small to medium-sized company to determine the position of people in the building and can serve as a very powerful element of home automation.
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Acoustic Detection of Speaker Position Using Microphone Array
Pelz, Zdeněk ; Novotný, Ondřej (referee) ; Szőke, Igor (advisor)
This thesis explores problematics of speaker localization using microphone array. Aim of this thesis is implementation of algorithms for speaker localization and experiments with those algorithms. Calculation of TDOA was done using cross-correlation and hyperbolic method was used to calculate position estimation. Finished microphone array is able to locate speaker within certain variance. Results of this thesis allow reader to make assumptions regarding accuracy of localisation using microphone array and ARM kit with limited performance. Precision of position estimation using microphone array reached several decimeters, but this precision is dependent on distance from microphone array.
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Lossless Coding of Speech from Microphone Array
Myška, David ; Černocký, Jan (referee) ; Malenovský, Vladimír (advisor)
This bachelor's thesis deals with lossless coding of speech signals from microphone arrays. It describes the methods used in the FLAC reference codec and their variations to increase compression for signals from microphone arrays. The following describes methods for aligning channels for their subsequent processing. At the end of the work the results obtained are compared with the reference codec FLAC.
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Detection of a Drone in Space
Rydlo, Štěpán ; Orság, Filip (referee) ; Drahanský, Martin (advisor)
This master thesis purposes is create localization system using software defined radio. The purpose of this thesis is to create new localization system, which will be independent of existing systems. To create a localization system, we will use ADALM-PLUTO device to send and receive radio signals. This work contains a decription of serval possibilities how to create the localization system and description of their comunication.
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