ASEE Papers using the Pluto SDR

This page documents academic papers that utilize the ADALM-Pluto SDR platform in educational settings.

Incorporating PlutoSDR in Communication Laboratory and Classroom

Authors: John E. Post (Embry-Riddle Aeronautical University), Dennis A. Silage (Temple University)

Summary: The paper explores integrating the $99 Pluto SDR—based on Analog Devices’ AD9363 RF transceiver—into undergraduate communication courses. Key capabilities include “20 MHz of tunable channel bandwidth between 325 MHz to 3.8 GHz” and full-duplex operation at 61.44 MSPS. The authors discuss software control via MATLAB, Simulink, GNU Radio, and HDL, plus practical laboratory demonstrations and student feedback.

Link: https://strategy.asee.org/incorporating-plutosdr-in-the-communication-laboratory-and-classroom-potential-or-pitfall

Experience of IoT Transceiver with Affordable SDR Platform

Author: Dr. Liang Hong (Tennessee State University)

Summary: Project-based learning module combining IoT and SDR concepts using affordable hardware. The module emphasizes “hands-on experience in IoT domain” with assessment rubrics and measurable learning outcomes, including improved student engagement in wireless communications and broadened minority participation.

Link: https://peer.asee.org/experience-of-iot-transceiver-with-affordable-software-defined-radio-platform.pdf

Sample-Based Understanding of Wireless Transceivers

Author: Alexander M. Wyglinski (Worcester Polytechnic Institute)

Summary: Educational framework viewing “communication system from the analog-to-digital converter (ADC) and digital-to-analog converter (DAC)” perspective. Curriculum progresses from fundamentals through modulation schemes, timing correction, and multicarrier modulation, utilizing Pluto SDR’s compact form factor for classroom and field learning.

Link: https://peer.asee.org/sample-based-understanding-of-wireless-transceivers-and-digital-transmission-via-software-defined-radio.pdf

Software-Defined Radio Course in Computer Science

Author: Marc Lichtman (University of Maryland College Park)

Summary: Addresses workforce gaps by offering SDR/DSP coursework within Computer Science rather than traditional ECE departments, recognizing that “software focused positions are more abundant” in industry and CS curricula emphasize coding skills aligned with professional demands.

Link: https://peer.asee.org/design-and-outcome-of-a-course-on-software-defined-radio-within-the-computer-science-department.pdf