Spectrum Sensing Implementations for Software Defined Radio in Simulink (original) (raw)
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Spectrum sensing system in software-defined radio for determining spectrum availability
2016 International Conference on Electronics, Information, and Communications (ICEIC), 2016
Spectrum sensing is an integral part of cognitive radio, which seeks to address the perceived spectrum scarcity that is caused by inefficient utilization of the available spectrum. In this paper, a spectrum sensing system using energy detection for analog TV and FM broadcast transmitters as well as modified Integrated Services Digital Broadcasting Terrestrial (ISDB-T) signals is implemented on a software-defined radio platform using GNU's Not Unix (GNU) radio and the N200 Universal Software Radio Peripheral (USRP). Real-time implementation and experimental tests were conducted in Metro Cebu, a highly urbanized area in the southern part of the Philippines. Extensive tests and measurements were necessary to determine spectrum availability, particularly in the TV band. This is in support of the Philippine government's efforts to provide internet connectivity to rural areas. Experimental results have so far met IEEE 802.22 requirements for energy detection spectrum sensing. The designed system detected signals at-114 dBm within a sensing time of 100 ms. Furthermore, the required () 90 d P ≥ and () 10 fa P ≤ of the standard were also achieved with different thresholds for various signal sources representing primary users.
ECE4305: Software-Defined Radio Systems and Analysis Laboratory 4: Spectrum Sensing Techniques
With advanced digital communication systems such as cognitive radio being used in a growing number of wireless applications, the topic of spectrum sensing has become increasingly important. This laboratory will introduce the concept, fundamental principles, and practical applications of spectrum sensing. In the experimental part of this laboratory, you will implement two different primary signal detectors and then observe their performance during over the air transmission. This is followed by a Simulink implementation of those two detectors. Finally, the open-ended design problem will focus on a commonly-used form of wireless access scheme referred to as carrier sense multiple access with collision avoidance (CSMA/CA).
Spectrum sensing algorithms and software-defined radio implementation for cognitive radio system
2016
This thesis is the result of a 3-year research activity during which I have met and collaborated with amazing people. I would like to express my deepest gratitude to my Ph.D. advisor, Prof. Roberto Garello, who was my Master's thesis advisor too, and guided and supported me in all possible ways ever since. I would like to thank Dr. Alberto Perotti and Andrea Molino for hosting me at CSP-ICT Innovation for more than one year. I had the chance to work with great colleagues like Eng. Floriana Crespi and Simone Scarafia. The project described in Chap. 9 was done during that period and I especially want to thank Eng. Ferdinando Ricchiuti for his assistance. Likewise, I am grateful to Eng. Claudio Pastrone and Dr. Hussein Khaleel for hosting me at the Pervasive Technologies Research Lab of Istituto Superiore Mario Boella (ISMB). I am also grateful to Prof. Jean-Marie Gorce, who gave me the great opportunity to spend my last year at the Centre of Innovation in Telecommunications and Integration of service (CITI) Laboratory in Lyon. I had the chance to work with advanced radio equipment, as described in Chap. 11. A special thanks goes to Dr. Yasser Fadlallah for his support during my stay at CITI Lab. Finally, I want to sincerely thank my friend and colleague Pawan Dhakal for our fruitful and lasting collaboration, Dr. Giuseppa Alfano for her help in the reviewing process, and, last but not least, my family and everyone who supported me during these years.
Nigerian Journal of Technology, 2018
This paper is a four section investigation of various communication principles to demonstrate the capabilities of using MATLAB and Software Defined Radio (RTL-SDR R820T) to receive, decode, analyse and resample a radio frequency signal. A novel MATLAB model system is developed to identify signals based on the signal characteristics in the spectrum analysers. The bandwidth, frequency, modulation and demodulation techniques of the signal were also identified. The section two is a design developed around multiplex and down-conversion to baseband Inphase/Quadrature phase (IQ) for multiple channel Frequency Modulated (FM) and Amplitude Modulated Double Sideband Transmitted Carrier (AM-DSB-TC) signal received. The functional description of sampling, decimation and interpolation form part of the contribution of this paper. The final section of the paper presents a short research on the potential benefits and a survey into the future of Software Defined Radio (SDR).
A Software-Defined Radio Approach to Spectrum Sensing Systems' Architecture
Software-Defined Radios (SDR) have developed exponentially in recent years. This is due to the high versatility that SDR platforms bring to communications systems. This survey aims at designing, developing, and validating a SDR-based Cognitive Radio Sensing System with a very high functionality to cost ratio. A Radio Band Power Measurement System will be implemented, as a proof of concept, which will perform Energy Detector sensing involving apriori knowledge of the target signal characteristics. Thus, it will identify available 6, 7 and 8 MHz Digital Terrestrial Television (DTT) channels. The reliability and reconfigurability of the prototype reveal the added value that our approach brings to Spectrum Sensing.
Implementation of a Spectrum Analyzer Using the Software-Defined Radio Concept
Journal of Microwaves, Optoelectronics and Electromagnetic Applications, 2021
The software-defined radio has been allowing engineers the possibility of implementing operations on software that were previously only possible to be performed through hardware. With the continuous increase in the processing capacity of computers, it is possible to modify in real time the operating parameters of new radios called Software Defined Radios (SDR) or use commercial devices for other purposes, in addition to those established in their design. By using a low-cost device RTL-SDR R820T2, controlled by a Raspberry Pi 3, with a free software, the present work proposes a characterization procedure in order to collect power levels measurements in a given frequency range with greater accuracy, acting as a spectrum analyzer. Preliminary measures were performed with the device embarked on a drone.
Building Software-Defined Radios in MATLAB Simulink - A Step Towards Cognitive Radios
2011 UkSim 13th International Conference on Computer Modelling and Simulation, 2011
Software Defined Radio (SDR) is a flexible architecture which can be configured to adapt various wireless standards, waveforms, frequency bands, bandwidths, and modes of operations. This paper presents a detailed survey of the existing hardware and software platform for SDRs. It also presents prototype system for designing and testing of software defined radios in MATLAB/Simulink and briefly discusses the salient functions of the prototype system for Cognitive Radio (CR). A prototype system for wireless personal area network is built and interfaced with a Universal Software Radio Peripheral-2 (USRP2) main-board and RFX2400 daughter board from Ettus Research LLC. The philosophy behind the prototype is to do all waveform-specific processing such as channel coding, modulation, filtering etc. on a host (PC) and general purpose high-speed operations like digital up and down conversion, decimation and interpolation etc. inside FPGA on an USRP2. MATLAB has a rich family of toolboxes that allows building software-defined and cognitive radio to explore various spectrum sensing, prediction and management techniques.
Advanced spectrum sensing with parallel processing based on software-defined radio
EURASIP Journal on Wireless Communications and Networking, 2013
Due to interference between co-located wireless networks, obtaining accurate channel assessment becomes increasingly important for wireless network configuration. This information is used, among others, for cognitive radio solutions and for intelligent channel selection in wireless networks. Solutions such as spectrum analyzers are capable of scanning a wide spectrum range, but are not dedicated for channel occupation assessment because they are extremely costly and not able to perform continuous recording for a time period longer than a few seconds. On the other hand, low-cost solutions lack the flexibility and required performance in terms of configuration and sensing efficiency. To remedy the situation, this paper presents an alternative for channel assessment on top of a commercial software-defined radio platform. Although there exist software solutions for performing spectrum sensing on such platforms, to the best of our knowledge, continuous spectrum sensing and long-term recording remain challenging. We propose a pioneering solution that is capable of seamless spectrum sensing over a wide spectrum band and guarantees sufficient flexibility in terms of configurations. The proposed solution is validated experimentally. We demonstrate two advantages of seamless spectrum sensing: the capability of accurate channel occupancy measurement and detecting transient signals such as Bluetooth.
Spectrum sensing through software defined radio
2014
têm o direito, perpétuo e sem limites geográficos, de arquivar e publicar esta dissertação através de exemplares impressos reproduzidos em papel ou de forma digital, ou por qualquer outro meio conhecido ou que venha a ser inventado, e de a divulgar através de repositórios científicos e de admitir a sua cópia e distribuição com objectivos educacionais ou de investigação, não comerciais, desde que seja dado crédito ao autor e editor. I would like to first and foremost thank my mentor and teacher, Rodolfo Oliveira, whose availability and helpful criticism helped me learn everything needed to complete this dissertation. I would like to thank João Porém, who has kept me company throughout all these years. Also, a big thank you to all my colleagues at FCT including but not limited to Pedro Cartaxo, Fábio Passos, Telmo Ferraria and Sérgio Pinto. To my parents, Isabel and José Duarte, who allowed me to choose this path for my life, I extend the biggest gratitude possible. I hope to be able to compensate this great sacrifice. To my brother Tiago, my second father, I can only thank for helping me in whatever I needed, whenever I needed. To my uncle Mário, I wish peace and I thank for being inspiration and an example. And last but not least, a big thank you to my loving girlfriend, Rita, who helped, distracted and overall made me a better person to this day.
Real-Time Implementation of Spectrum Sensing Techniques in Cognitive Radios
2017
Wireless communication requirements of higher sampling frequencies and bandwidth are ever increasing. For this purpose, exploitation of underutilized spectrum bands was one the challenging research targets. Cognitive Radio (CR) is a promising solution to overcome the “limited bandwidth” issue. Software defined radio (SDR) is the enabler of CR. The aim of the thesis is to adopt the vacant TV channels for secondary users. Spectrum sensing prototype has been proposed to detect TV white space (TVWS). The prototype has been developed using Universal Software Radio Peripheral (USRP) and examined to sense TVWS in the real time world. The conducting analysis of obtained measurements showed the state of unoccupied spectrum bands in the UHF band ranges from 500 MHz to 698 MHz in the urban area of Windsor, Ontario, Canada. Two different spectrum sensing techniques namely, the energy detector, and pilot-tone detector were employed to get the result with minimum computational complexity. Experim...