3GPP LTE (Long Term Evolution) is a project of the Third Generation Partnership Project to improve the UMTS (Universal Mobile Telecommunications System) mobile phone standard to cope with future technology evolutions. Two duplex schemes FDD and TDD are investigated in this thesis. Several computational intensive components of the baseband processing for LTE uplink such as synchronization, channel estimation, equalization, soft demapping, turbo decoding is analyzed. Cost analysis is hardware independent so that only computational complexity is considered in this thesis. Hardware dependent discussion for LTE baseband SDR platform is given according the analysis results.

The classification of protein sequences is a subfield in the area of Bioinformatics that attracts a substantial interest today. Machine Learning algorithms are here believed to be able to improve the performance of the classification phase. This thesis considers the application of different Machine Learning algorithms to the classification problem of a data set of short-chain dehydrogenases/reductases (SDR) proteins. The classification concerns both the division of the proteins into the two main families, Classic and Extended, and into their different subfamilies. The results of the different algorithms are compared to select the most appropriate algorithm for this particular classification problem. / Klassificeringen av proteinsekvenser är ett område inom Bioinformatik, vilket idag drar till sig ett stort intresse. Maskininlärningsalgoritmer anses här kunna förbättra utförandet av klassificeringsfasen. Denna uppsats rör tillämpandet av olika maskininlärningsalgoritmer för klassificering av ett dataset med short-chain dehydrogenases/reductases (SDR) proteiner. Klassificeringen rör både indelningen av proteinerna i två huvudklasser, Classic och Extended, och deras olika subklasser. Resultaten av de olika algoritmerna jämförs för att välja ut den mest lämpliga algoritmen för detta specifika klassificeringsproblem. / Sandra Olandersson Blåbärsvägen 27 372 38 Ronneby home: 0457-12084

Goal of this thesis is to develop portable monitoring station for radio spectrum monitoring and its controlling application for use by Czech Telecommunication Office. The station is based on Software Defined Radio (SDR) and capable of monitoring in the range of 1 MHz - 6 GHz. Developed application controls not only the SDR but also the external RF unit (including choice of receiving antenna, filter, optional amplification/attenuation and azimuth of antenna rotator). Measurement processed by computer and displayed graphically in form of spectrum diagram and waterfall diagram. Furthermore, the application will perform spectral measurement in compliance with requirements of International Telecommunication Union. The application is also capable of recording into the file and of analyzing historical data from the previous measurement.

The point of this master's thesis is to design a framework capable of receiving and processing and also generating and sending packets of BLE, Z-Wave and IQRF technologies. In addition to designing the software itself, it also deals with choosing suitable hardware. Selected hardware is SDR device HackRF~One. The software solution is implemented in C ++ and counts on the use of third-party tools.

There are describes the principles of remote meter reading in the home and components of smart grids for reading these meters in the first part of master’s thesis. The next part of the thesis contains description of standard Wireless M-Bus and ZigBee. The next chapter is description of the circuit Realtek RTL2832U, which is part of the selected tuner. Another part is devoted to basic description of modulation focusing on the angle modulation – FM, FSK. In the final part is a detailed description of the received signal. AES encryption and created software.

Inspection methods for satellites post-launch are currently expensive and/or dangerous. To address this, BYU, in conjunction with NASA, is designing a series of small satellites called CubeSATs. These small satellites are designed to be launched from a satellite and to visually inspect the launching body. The current satellite revision passively tumbles through space and is appropriately named the passive inspection cube satellite (PICS). The next revision actively maintains translation and rotation relative to the launching satellite and is named the translation, rotation inspection cube satellite (TRICS). One of the necessary sensors aboard this next revision is the means to detect distance. This work explores the feasibility of using a software defined radio as a small, low-cost front end for a ranging radar to fulfill this need. For this work, the LimeSDR-Mini is selected due to its low-cost, small form factor, full duplex operation, and open-source hardware/software. Additionally, due to the the channel characteristics of space, the linear frequency modulated continuous-wave (LFMCW) radar is selected as the radar architecture due to its ranging capabilities and simplicity. The LFMCW radar theory and simulation are presented. Two programming methods for the LimeSDR-Mini are considered: GNU Radio Companion and the pyLMS7002Soapy API. GNU Radio Companion is used for initial exploration of the LimeSDR-Mini and confirms its data streaming (RX and TX) and full duplex capabilities. The pyLMS7002Soapy API demonstrates further refined control over the LimeSDR-Mini while providing platform independence and deployability. This work concludes that the LimeSDR-Mini is capable of acting as the front end for a ranging radar aboard a small satellite provided the pyLMS7002Soapy API is used for configuration and control. GNU Radio Companion is not recommended as a programming platform for the LimeSDR-Mini and the pyLMS7002Soapy API requires further research to fine tune the SDR's performance.

Radio broadcasting is the primary part of the infotainment system in automobile and nowadays it is not only uses for the entertainment but facilitate the users by broadcasting digital information along with audio data. Radio Data System (RDS) is the radio broadcasting communication standard that broadcasts the digitally encoded data on the conventional band of the analogue FM radio. It transfers different type of data that uses for various applications along with audio channel of the FM radio station and overcome the glitches of the car radio to big scope. It is using commercially in the infotainment system of the automobile with basic features of the RDS since fifteen years. However, it is facing issues with lower data rates as compared to other digital radio broadcasting technologies that are also using in many countries. To confront this issue, RDS forum proposed the standardization of RDS with RDS2 in 2018, So RDS2 has been standardized and published that improves the data capacity by adding more channels. Hence, developers can use these channels for broadcasting the additional information. The ultimate goal of thesis is the development of RDS2 encoder, which increases the data capacity up to four times as compared to currently RDS encoder by upgrading the data channels with the modeling of additional RDS2 features and services. This thesis proposes an approach for the implementation and validation of encoder with complete simulation of FM-RDS2 transmitter under all standardized feature modeling in the Software Defined Radio (SDR) environment. For this purpose, GNU Radio Companion (GRC) is used which offers the signal processing blocks to construct SDR modules. Using GRC, three main steps will be completed by using different libraries and tools. Implementation of RDS2 encoder and data-rate enforcer blocks with features modeling are written in C++ language. GUI designing of each block is executed in XML script language and simulation of complete FM-RDS2 transmitter using all-new custom and predefined signal processing blocks. Our determinative observation shows this approach remarkable improvements in terms of a prototype of new standard’s encoder, interpolating property of framework and decreasing the cost.

GNSS positioning has become a key element in everyday life of millions of people, from the person using google maps to move around an unknown city to the mailman or the DRON pilot who require it to carry out their work. All of them benefit in some way from the GNSS constellations and the position algorithms.The European Union through their GNSS constellation, Galileo, has recently made available a new service called Galileo High Accuracy Service (HAS). With the aim of improving the positioning solutions already provided by the Open Service (OS) to a centimetric level with the target of professional and commercial users requiring this high accuracy. As a result, in this Master Thesis project the steps of the development and implementation of a Software-Defined Radio to collect the High Accuracy corrections transmitted through Galileo GNSS constellation are going to be shown. The SDR itself is going to be made available so that other persons from companies to academia can benefit from it and see how the corrections are extracted and either use the algorithm or implement its own to be able to use this High Accuracy Service.

Drone-mounted ground penetrating radar (GPR) has the capability to investigate terrain that is inaccessible or hazardous to humans. A linear frequency-modulated (LFM) radar with the potential for GPR applications is described based on the LimeSDR Mini software defined radio (SDR). Challenges of the LimeSDR Mini radar include the SDR's lack of support for transmitter-receiver synchronization and high bleedthrough leakage. These issues are overcome through corrective software processing techniques including deconvolution of the SDR's system impulse response and digital feed-through nulling. Feed-through nulling is effective at reducing bleedthrough leakage, achieving a 26 dB reduction in power. Although high noise can confound the identification of targets with small radar cross sections in dynamic environments, the LimeSDR Mini radar is demonstrated to display a moving target across multiple ranges. This research demonstrates the increasing accessibility of SDR radar for drone applications, as the LimeSDR Mini is lightweight and low-cost compared to high-end SDRs typically used in SDR radar.

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