Surfing the Radio Spectrum Using RTL-SDR
- 9 October 2019
- journal article
- research article
- Published by Taylor & Francis in IETE Journal of Education
- Vol. 60 (2) , 65-73
Abstract
Working with the abstract concepts of signals in time and frequency domains without a concrete tool to understand the very nature of these fundamental concepts has been a major impediment for undergraduate engineering students attending a course on Signals and Systems or Communications. Classroom teaching in such courses has been traditionally confined to working out the mathematics behind the concepts. Hence a tool is needed that allows students to explore the actual radio spectrum leading to a real appreciation of the subject matter. This paper considers the use of a low-cost RTL-SDR as an educational tool to address this difficulty. The approach presented can be used for in-class demonstrations and at-home activities aiding in a better understanding of the nature of signals in time and frequency domains. RTL-SDR can allow students to explore the radio spectrum on their own in an easy, cost-effective and academically enriching manner.Keywords
This publication has 12 references indexed in Scilit:
- Software-defined Radios: Architecture, state-of-the-art, and challengesComputer Communications, 2018
- Teaching signals and systems at undergraduate levelProcedia Computer Science, 2017
- Student understanding of phase shifts, frequency and Bode plotsInternational Journal of Electrical Engineering & Education, 2016
- A Practical Approach to Spectrum Analyzing Unit Using RTL-SDRRajshahi University Journal of Science and Engineering, 2016
- A low-cost desktop software defined radio design environment using MATLAB, simulink, and the RTL-SDRIEEE Communications Magazine, 2015
- Software Defined Radio: Challenges and OpportunitiesIEEE Communications Surveys & Tutorials, 2010
- Software-Defined Radio—Basics and Evolution to Cognitive RadioEURASIP Journal on Wireless Communications and Networking, 2005
- Active and cooperative learning in signal processing coursesIEEE Signal Processing Magazine, 2005
- Speakeasy: the military software radioIEEE Communications Magazine, 1995
- Software radios: Survey, critical evaluation and future directionsIEEE Aerospace and Electronic Systems Magazine, 1993