Radio Frequency Translation for Software Defined Radio

2003 ◽  
pp. 24-78 ◽  
Author(s):  
Mark Beach ◽  
Paul Warr ◽  
John MacLeod
Keyword(s):  
Radio Frequency ◽  
Software Defined Radio ◽  
Frequency Translation

scholarly journals Model of forming a spatial-temporary radio frequency portrait of subscriber terminals in satellite communication systems monitoring

2020 ◽  
Vol 100 (4) ◽  
pp. 78-86
Author(s):  
M. Baldychev ◽  
◽  
A. Bosyy ◽  
O. Galtseva ◽  
Keyword(s):  
Radio Frequency ◽  
Software Defined Radio ◽  
Communication Systems ◽  
Satellite Communication ◽  
A Priori ◽  
Complex Structure ◽  
Satellite Communications ◽  
Physical Parameters ◽  
Time Frequency ◽  
Spatio Temporal

Currently, the development of satellite communications systems (SCS) is associated with the development of signals of complex structure. The popularization and distribution of software-defined radio systems (Software-defined radio, SDR) are noted, which leads to a decrease of quality of functioning of the SCS. Promising areas of countering the unauthorized use of the time-frequency resource of the KA repeater are methods aimed at determining the location of subscriber terminals (ST) and analyzing the service and semantic parts of the transmitted message. Accounting for changes of physical parameters requires the use of a large amount of heterogeneous a priori data; it is not achievable task in practice. According to the theory of mathematical statistics, the approximation is used at solving problems of sample analysis. The result of the approximation is a spatio-temporal radio-frequency portrait (STRFP) of an ST participating in the formation of a group signal. Thus, the aim of the research is to develop a model of changing the physical parameters of a radio signal and to study the possibility of approximating physical parameters in order to form a spatio-temporal radiofrequency portrait of an ST SCS.

scholarly journals КІБЕРБЕЗПЕКА БЕЗПРОВОДОВИХ СМАРТ-СИСТЕМ: КАНАЛИ ВТРУЧАНЬ ТА РАДІОЧАСТОТНІ ВРАЗЛИВОСТІ

2020 ◽  
pp. 79-92
Author(s):  
Володимир Якович Певнев ◽  
Володимир Володимирович Торяник ◽  
Вячеслав Сергійович Харченко
Keyword(s):  
Radio Frequency ◽  
Software Defined Radio ◽  
Cyber Physical Systems ◽  
Cyber Attacks ◽  
High Tech ◽  
The Internet ◽  
Physical Systems ◽  
Expert Assessments ◽  
And Control ◽  
Control Interaction

The subject of this study is the radio frequency cyber vulnerability of information and control interaction technology in the wireless smart systems (WSS). WSS is the cyber-physical systems, that operate within the OSI model. The specificity and specialization of these systems are determined by radio technologies of the physical layer. For example, the Internet of Things (IoT, including medical IoMT), the Internet of Drones (IoD), systems for aviation monitoring ADS-B and traffic management ATM, and, in the future, the Internet of Everything (IoE) - all are types of WSS. The aim is to analyze the radio frequency parameters of information and control interaction in the WSS to identify possible radio frequency cyber vulnerabilities in the WSS. Objectives: summarize and systematize the physical and functional parameters of wireless technologies in the ISM (Industrial Scientific & Medical Band) and SRD (Short range devices) ranges, which are significant from the WSS radiofrequency cyber vulnerability perspective, including navigation technologies; analyze trends and methods of successful cyber attacks on the WSS; carry out expert assessments of potential WSSs cyber vulnerabilities depending on their architecture and application area. The methods used: analysis of trends in known radiofrequency incidents and expert assessments of the cyber vulnerability of the WSS information and control interaction channels. The following results were obtained: 12 actual WSS radio technologies were analyzed. 6 types of possible radio frequency cyber attacks on the WSS were typified. The expert assessment of the probability of exploiting vulnerabilities by ranges, radio technologies, and attack type was made. The special danger of high-tech targeted APT attacks, as well as the high potential radio vulnerability of cyber-physical systems, was shown. The cyber vulnerability of ADS-B aircraft systems was especially noted. Conclusions. The scientific novelty of the results obtained is as follows: a trend of APT attacks cost reduction and an increase in the probability of their implementation through the new capabilities of SDR technology (Software Defined Radio) were revealed. The possibility of a controlled SDR compromising of the security parameters of WSS channels in any radio range was shown. A promising direction of research was proposed - SDR-penetration testing of WSS.

Application of Digital Signal Processing in USRP Satellite Signal Detection

2017 ◽  
Vol 9 (2) ◽  
pp. 16-25 ◽  
Author(s):  
Giti Javidi ◽  
Ehsan Sheybani
Keyword(s):  
Signal Processing ◽  
Radio Frequency ◽  
Software Defined Radio ◽  
Rapid Development ◽  
Software Radio ◽  
Digital Signal ◽  
Gnu Radio ◽  
Flow Graph ◽  
Radio Frequency Signals ◽  
Logic Blocks

The Universal Software Radio Peripheral development technique is designing and implementing radio frequency based systems. The distinctiveness originates from the interchangeable daughterboard within the USRP. The system is designed around the Xilinx Vertex 3 FPGA chip. This means C++, Python, and VHDL can be used to program this device. The project consists of creating a receiver. The objective of the project is to research and comprehend the hardware functionalities of the USRP. The purpose is to create codes in C++ and Python to implement receiving capabilities of the device. The goal of this project was to design a GPS receiver that is capable of recording the L1 signal from a DirecTV satellite. The USRP is used a lot for research. This project consisted of more than just one method. We used GNU Radio Companion and Matlab/Simulink. GNU Radio is open source for building software defined radios. It is also known as GRC. While using GRC the USRP1 was the device used. This software has rapid development. It runs in Ubuntu, a Linux operating system. Within this software there are logic blocks. Each block consists of information to create a flow graph. The flow graph builds and generates the program. Simulink can be compared to GRC. They both have logic blocks that have to be connected to run. Simulink can be used to create a transmitter or a receiver for software radio development and signal processing. Software-defined radio can only be defined if its baseband operations can be completely defined by software. A SDR converts digital to analog signals. The USRP can also convert digital signals from a computer to Radio Frequency Signals (RF). This software is one way to communicate between hardware and software.

scholarly journals Design and verification of a testing platform for implementation of software defined radio communications systems

2019 ◽  
pp. 14-19
Author(s):  
Rogelio García-Dzul ◽  
Ramón Parra-Michel ◽  
Jorge Sanchez-Venegas
Keyword(s):  
Radio Frequency ◽  
Software Defined Radio ◽  
Communication Systems ◽  
General Purpose ◽  
Use Case ◽  
Radio Communications ◽  
Testing Platform ◽  
Communications Systems ◽  
Hardware Development ◽  
Field Programmable

The software-defined radio platforms that currently exist are mainly focused on the development of software communication blocks, leaving aside the hardware development, so the need arises to have a testing platform for hardware blocks which also allows us to interact with a radio frequency stage to perform blocks tests of complete communication systems in the air such as WiFi, Bluethoot, Zig Bee among others. This article describes the design of a platform based on a Field-Programmable Gate Array (FPGA) technology and microprocessor, which allows having multiple blocks and algorithms in hardware and software and interacting between them. In the same way there is a significant number of general purpose interfaces for testing the signals, as well as having specific interfaces which allow us to interconnect with different radio frequency platforms and communication cards with the computer. This allows you to work with different radio technologies according to your needs. A use case is presented in which a Bluethoot transmitter is tested with the use of the platform.

scholarly journals A Radio Frequency Magnetoelectric Antenna Prototyping Platform for Neural Activity Monitoring Devices with Sensing and Energy Harvesting Capabilities

Electronics ◽  
2020 ◽  
Vol 9 (12) ◽  
pp. 2123
Author(s):  
Diptashree Das ◽  
Mehdi Nasrollahpour ◽  
Ziyue Xu ◽  
Mohsen Zaeimbashi ◽  
Isabel Martos-Repath ◽  
...  
Keyword(s):  
Energy Harvesting ◽  
Integrated Circuits ◽  
Radio Frequency ◽  
Software Defined Radio ◽  
Low Frequency ◽  
Software Radio ◽  
Operating Conditions ◽  
Time Signal ◽  
Modulated Signals ◽  
Wireless Energy Harvesting

This article describes the development of a radio frequency (RF) platform for electromagnetically modulated signals that makes use of a software-defined radio (SDR) to receive information from a novel magnetoelectric (ME) antenna capable of sensing low-frequency magnetic fields with ultra-low magnitudes. The platform is employed as part of research and development to utilize miniaturized ME antennas and integrated circuits for neural recording with wireless implantable devices. To prototype the reception of electromagnetically modulated signals from a sensor, a versatile Universal Software Radio Peripheral (USRP) and the GNU Radio toolkit are utilized to enable real-time signal processing under varying operating conditions. Furthermore, it is demonstrated how a radio frequency signal transmitted from the SDR can be captured by the ME antenna for wireless energy harvesting.

scholarly journals Analysis of radio frequency spectrum usage using cognitive radio

2020 ◽  
Vol 1 ◽  
pp. 1-8
Author(s):  
Munirah Shuaibu-Sadiq ◽  
F. I. Anyasi
Keyword(s):  
Cognitive Radio ◽  
Radio Frequency ◽  
Software Defined Radio ◽  
Probability Of Detection ◽  
Noise Power ◽  
Benin City ◽  
Probability Of False Alarm ◽  
Simulink Model ◽  
Radio Frequency Spectrum ◽  
Working Together

This paper presents the analysis of radio frequency (RF) spectrum usage using cognitive radio. The aim was to determine the unused spectrum frequency bands for efficiently utilization. A program was written to reuse a range of vacant frequency with different model element working together to produce a spectrum sensing in MATLAB/Simulink environment. The developed Simulink model was interfaced with a register transfer level - software defined radio, which measures the estimated noise power of the received signal over a given time and bandwidth. The threshold estimation performed generates a 1\0 output for decision and prediction. It was observed that some spectrum, identified as vacant frequency, were underutilized in FM station in Benin City. The result showed that when cognitive radio displays “1” output, which is decision H1, the channel is occupied and cannot be used by the cognitive radio for communication. Conversely, when “0” output (decision H0) is displayed, the channel is unoccupied. There is a gradual decrease in the probability of detection (Pd), when the probability of false alarm (Pfa) is increased from 1% to 5%. In the presence of higher Pfa, the Pd of the receiver maintains a high stability. Hence, the analysis finds the spectrum hole and identifies how it can be reused

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