TY - GEN
T1 - Lightweight and Cost-Effective Spectrum Analyser Based on Software Defined Radio and Raspberry Pi
AU - Ball, David
AU - Naik, Nitin
AU - Jenkins, Paul
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2018/5/10
Y1 - 2018/5/10
N2 - Software Defined Radio (SDR) has become an increasingly credible alternative solution to solid state radio problems. The practical application of SDR in building a spectrum analyser can be complex and expensive; however, the use of lightweight, cost-effective, low-cost SDR and lowpower microprocessors can significantly reduce the cost. This paper investigates ways to build lightweight, cost-effective spectrum analysers and their most effective design and implementation, utilising the RTL-SDR USB device, a software modelling tool (GNU Radio), and a low-power-microprocessor Raspberry Pi. The RTL-SDR USB device, GNU Radio Software and Raspberry Pi are configured together to produce a lightweight SDR-based spectrum analyser. In this particular implementation, the spectrum analyser is used to examine a small section of the electromagnetic spectrum to test the suitability of the configuration for complex Fast Fourier Transform calculations. For comparison purposes, another spectrum analyser is built using a more powerful microprocessor (AMD Turion), and the results recorded and compared. The experimental results and comparative evaluation of the two spectrum analysers demonstrate that the Raspberry Pi-based design performs equally well despite its limited resources and low cost. This shows the success and potential of this SDR and Raspberry Pi-based spectrum analyser as a credible device for a number of intelligence analyses applications in a secure environment.
AB - Software Defined Radio (SDR) has become an increasingly credible alternative solution to solid state radio problems. The practical application of SDR in building a spectrum analyser can be complex and expensive; however, the use of lightweight, cost-effective, low-cost SDR and lowpower microprocessors can significantly reduce the cost. This paper investigates ways to build lightweight, cost-effective spectrum analysers and their most effective design and implementation, utilising the RTL-SDR USB device, a software modelling tool (GNU Radio), and a low-power-microprocessor Raspberry Pi. The RTL-SDR USB device, GNU Radio Software and Raspberry Pi are configured together to produce a lightweight SDR-based spectrum analyser. In this particular implementation, the spectrum analyser is used to examine a small section of the electromagnetic spectrum to test the suitability of the configuration for complex Fast Fourier Transform calculations. For comparison purposes, another spectrum analyser is built using a more powerful microprocessor (AMD Turion), and the results recorded and compared. The experimental results and comparative evaluation of the two spectrum analysers demonstrate that the Raspberry Pi-based design performs equally well despite its limited resources and low cost. This shows the success and potential of this SDR and Raspberry Pi-based spectrum analyser as a credible device for a number of intelligence analyses applications in a secure environment.
KW - FFT
KW - GNU
KW - RTL-SDR
KW - Raspberry Pi
KW - Software Defined Radio
KW - Spectrum Analyser
UR - http://www.scopus.com/inward/record.url?scp=85048371160&partnerID=8YFLogxK
U2 - 10.1109/EMS.2017.51
DO - 10.1109/EMS.2017.51
M3 - Conference contribution
AN - SCOPUS:85048371160
T3 - Proceedings - UKSim-AMSS 11th European Modelling Symposium on Computer Modelling and Simulation, EMS 2017
SP - 260
EP - 266
BT - Proceedings - UKSim-AMSS 11th European Modelling Symposium on Computer Modelling and Simulation, EMS 2017
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 11th UKSim-AMSS European Modelling Symposium on Computer Modelling and Simulation, EMS 2017
Y2 - 20 November 2017 through 22 November 2017
ER -