A real-time, Matlab-based undergraduate digital communications course

Bazdresch, Miguel

doi:10.1109/dsp-spe.2011.5739249

Cited by 8 publications

(4 citation statements)

References 7 publications

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“…The SDR-based concept has gained significant attention in recent years. For example, an excellent SDR book that covers numerous SDR topics was published by Stewart et al, 3,4 and a massive open online course (MOOC) was also recently proposed by Briso et al 5 The idea of providing software-based courses, with or without SDR, is not novel, and few programs suitable for undergrads have been proposed with either Matlab [6][7][8] or GNU Radio 9 used. In this paper, an alternative undergraduate program is proposed.…”

Section: Teaching Wireless Communication With Sdrmentioning

confidence: 99%

Hands-on undergraduate course based on software-defined radio and Matlab/Simulink

Bykhovsky

2019

International Journal of Electrical Engineering & Education

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Recent breakthroughs lowering the costs of software-defined radio devices have made them very attractive for teaching wireless communication. This paper provides an example of an undergraduate course that incorporates the use of low-cost software-defined radio and Matlab/Simulink software to illustrate the basic principles of practical digital communication systems. This course targets senior level undergraduate electrical engineering students with a background in the fields of communication and signal processing. The course comprises two parts: software-defined radio introductory studies and implementation of a basic digital modem. The second part of this course may also be taught as project-based learning or in a hackathon-style event. Finally, a list of additional project-based learning/hackathon projects is provided.

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Section: Teaching Wireless Communication With Sdrmentioning

confidence: 99%

Hands-on undergraduate course based on software-defined radio and Matlab/Simulink

Bykhovsky

2019

International Journal of Electrical Engineering & Education

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“…The straightforward applicability of commercially available low‐cost software‐defined radio (SDR) equipment opens new horizons in the teaching of wireless communication and seems to be a natural approach in the field [23,3,2,32]. However, the design and implementation of a digital receiver requires a significant level of communication theory and SDR implementation proficiency [1,13,3,7]. Moreover, such implementation has to be delayed until the students have gained sufficient knowledge in communication theory, for example, orthogonal frequency‐division modulation (OFDM) [18].…”

Section: Introductionmentioning

confidence: 99%

Teaching wireless channel modeling with software‐defined radio

Bykhovsky

2020

Comp Applic In Engineering

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One of the important aspects in the study of wireless communication is channel modeling that is based on wave propagation theory and empirical measurements models. Most of the common undergraduate curricula address only theoretical aspects of wireless channels, while the related laboratory experiments concentrate on advanced digital modulation techniques and deal with topics such as pilot‐based channel estimation and equalization in orthogonal frequency division multiplexing modulation. In this paper, it is shown that some fundamental channel properties may be reproduced with laboratory experiments that require only a basic knowledge of communication principles, such as baseband and bandpass notation. These experiments can be carried out with affordable software‐defined radios, which have recently become extremely popular in the teaching of communication. Such experiments may enhance the teaching with hands‐on measurements of practical channels, while reinforcing the understanding of probability and random processes theory.

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“…Several different approaches have been proposed: some courses are largely theoretical, 2 while others focus on numerical simulation, 3 and yet others emphasize hands-on practice and implementation. 4 Instructors have also developed learning activities tailored to illustrating specific concepts. 5…”

Section: Introductionmentioning

confidence: 99%

An elucidating proof that a matched filter is optimum

Bazdresch

2018

International Journal of Electrical Engineering & Education

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A matched filter is an essential element in digital communications receivers. It is known that it is optimal, in the sense of producing sufficient statistics of maximum signal-to-noise ratio; a proof is presented in many undergraduate textbooks. Recent research in mathematics education suggests that the purpose of a proof is not merely to convince students that a theorem is true by pure logic; rather, a proof should be explanatory, with semantic content that elucidates the relationship between the concepts involved. In this paper, a time-domain proof that the matched filter is optimal is presented, and it is argued that it has larger explanatory value than alternative proofs.

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A real-time, Matlab-based undergraduate digital communications course

Cited by 8 publications

References 7 publications

Hands-on undergraduate course based on software-defined radio and Matlab/Simulink

Hands-on undergraduate course based on software-defined radio and Matlab/Simulink

Teaching wireless channel modeling with software‐defined radio

An elucidating proof that a matched filter is optimum

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