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Software

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Automated Measurement and Evaluation of Qualitative Parameters of Wireless Systems

Authors:

Jiri MILOS, Ladislav POLAK

Type:

software

Date:

2020-03-20

Projects:

LTC18021 - Future Wireless Radio Communication Networks in Real Scenarios (FEWERCON)
FEKT-S-20-6325 ? Next Generation Communication Systems

The software for automated measurement and evaluation of qualitative parameters of wireless communication systems, developed within the project LTC18021 (FEWERCON), reduces measurement time and offers a flexible measurement by the using of Rohde&Schwarz (R&S) devices - arbitrary RF signal generator and RF spectrum analyzer. The software package is completely realized in the MATLAB program environment (version 2017b) employing Signal Processing Toolbox, Communication Toolbox and Instrument Control Toolbox. The ARB Toolbox from R&S is also utilized for simple generation and control of a signal waveform. These toolboxes create an inseparable part of the remote control of the R&S devices. The software allows for the user to set the basic parameters of the measured communication systems on physical (PHY) layer level, parameters of the measurement setup itself and monitor required qualitative parameters (e.g. EVM). For automated measurement, all R&S devices must be connected with a personal computer (with the installation of the created software) via switch and LAN network. Option of automated measurement of coexistence scenario between wireless systems makes the proposed concept unique. It allows both so called conductive and Over-the-Air measurements. Functionality of the proposed concept has been verified at the measurement of various coexistence scenarios that can occur between LoRa and WLAN systems in the 2.4 GHz ISM band. More details about this measurement can be found HERE. The complete software is distributed under the academic license.


Software for Data Evaluation from Real-Time monitoring and Localization in Indoor Environment

Authors:

Martin SLANINA, Tomá¹ BRAVENEC, Stanislav ROZUM, Ladislav POLÁK

Type:

software

Date:

2020-03-20

Projects:

LTC18021 - Future Wireless Radio Communication Networks in Real Scenarios (FEWERCON)
FEKT-S-20-6325 ? Mobile Communication Systems of 5G and Higher Generations

In order to determine location in an indoor environment, measurement and analysis of radio-frequency signal power levels can be used as they tend to decrease with increasing transmitter distance. Due to its low energy consumption coupled with device availability, a perspective system for such application is the Bluetooth Low Energy system with the use of the Fingerprinting technique. The localization accuracy is, however, negatively impacted by the low measurement stability. The proposed software applies different machine learning techniques on the measurement data in order to improve the result stability and the reliability of location estimation based on the measured signal levels. The software has been implemented in the Python 3 programming language, using freely available software modules ? most importantly, scikit-learn and matplotlib. The software as well as the measured data is available HERE. The website also includes a more detailed software description.