Software Defined Radio for Digital Signal Processing Related Courses
- Conference
- Location
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New Orleans, Louisiana
- Publication Date
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June 26, 2016
- Start Date
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June 26, 2016
- End Date
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June 29, 2016
- ISBN
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978-0-692-68565-5
- ISSN
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2153-5965
- Conference Session
- Tagged Division
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Electrical and Computer
- Page Count
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10
- DOI
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10.18260/p.25831
- Permanent URL
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https://peer.asee.org/25831
- Download Count
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2183
Paper Authors
Patrick Cutno Miami University
Currently a graduate student at Miami University’s electrical and computer engineering department. My research is in automatic modulation detection. Given a carrier frequency, determine the unknown modulation scheme used to transmit information at that frequency. I also work on creating instructional labs that use LabVIEW and software defined radios such as the NI-USRP 2920 to accompany Miami University’s “Digital Signal Processing” and “Signals and Systems” courses. These courses are very math and theory based, but by adding a lab portion, students will be able to apply fundamental theories covered in class to develop a better understand the topics.
Chi-Hao Cheng Miami University
Dr. Chi-Hao Cheng received the B.S. degree in control engineering from National Chiao Tung University, Taiwan in 1991, and the M.S. and Ph.D. degrees from The University of Texas at Austin in 1996 and 1998 respectively, both in Electrical and Computer Engineering. He is currently a professor in the Department of Electrical and Computer Engineering at Miami University, Ohio. His primary professional interests lie in signal processing algorithm development and its applications in numerous communications system and component development including wireless and optical communications systems. He is co-inventors of three US patents.
Zhiqiang Wu Wright State University
Dr. Zhiqiang Wu received his BS from Beijing University of Posts and Telecommunications in 1993, MS from Peking University in 1996, and PhD from Colorado State University in 2002, all in electrical engineering. He has worked at West Virginia University Institute of Technology as assistant professor from 2003 to 2005. He joined Wright State University in 2005 and currently serves as full professor. Dr. Wu is the author of national CDMA network management standard of China. He also co-authored one of the first books on multi-carrier transmission for wireless communication. He has published more than 100 papers in journals and conferences. He has served as Chair of Acoustic Communication Interest Group of IEEE Technical Committee on Multimedia Communications. His research has been supported by the National Science Foundation, Air Force Office of Scientific Research, Air Force Research Laboratory, Office of Naval Research, and NASA. His work on software defined radio implementation of cognitive radio won the Best Demo Award at IEEE Globecom 2010.
Bin Wang Wright State University
Prof. Bin Wang earned his Ph.D. from the Ohio State University in 2000. He joined the Wright State University in September 2000, where he is currently full professor of computer science and engineering. His research interests include optical networks, real-time computing, mobile and wireless networks, cognitive radio networks, trust and information security, and semantic web. He is a recipient of the US Department of Energy Career Award. His research has been supported by US Department of Energy, National Science Foundation, Air Force Office of Scientific Research, Air Force Research Laboratories, Ohio Supercomputer Center, and the State of Ohio.
Deng Cao Central State University
Dr. Deng Cao received his Ph.D in Computer Science from West Virginia University in 2013. He earned two master degrees in Statistics and Physics from West Virginia University, and his bachelor degree in Physics from Hunan Normal University in China. Dr. Cao joined Central State University in 2013 and currently serves as an assistant professor in the department of Mathematics and Computer Science. His research interests include advanced biometrics, computer vision, pattern recognition and machine learning.
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Abstract
Software-defined radio (SDR) is widely used in undergraduate electrical and computer engineering curricula in the area of communications. It is commonly used as laboratory equipment for students to implement communication systems and verify communication theory learned in class. In this project, supported by a NSF TUES type II grant, we explore the possibility of applying the SDR as an education tool to teach fundamental signal processing concepts. To achieve this goal, we developed SDR based laboratory exercises. Although students are still required to develop analog/digital communication systems, the major focuses of these exercises are to emphasize fundamental signal processing concepts such as frequency-shift, spectra of real and complex valued signals, etc. The target students are junior level undergraduate students who have taken or are taking the course of “Signals and Systems” but are not necessary enrolled in the class of “Digital Signal Processing (DSP).” Two undergraduate students who have taken the course of “Signals and Systems” and haven’t taken “Digital Signal Processing” yet were invited to test laboratory exercises developed in this project. The goal of this project is to develop laboratory exercises to demonstrate theories covered in fundamental signal processing courses. Such courses are mathematically orientated and students often feel challenged in these classes. We believe that experimental exercises with real-life application examples can motivate students and help them to develop a better understanding of signal processing theories.
Cutno, P., & Cheng, C., & Wu, Z., & Wang, B., & Cao, D. (2016, June), Software Defined Radio for Digital Signal Processing Related Courses Paper presented at 2016 ASEE Annual Conference & Exposition, New Orleans, Louisiana. 10.18260/p.25831
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