DocumentCode :
3155807
Title :
Teaching software defined radio using the USRP and LabVIEW
Author :
Welch, Thad B. ; Shearman, Sam
Author_Institution :
Boise State Univ., Boise, ID, USA
fYear :
2012
fDate :
25-30 March 2012
Firstpage :
2789
Lastpage :
2792
Abstract :
The universal software radio peripheral (USRP) family of products has become a popular platform for hardware-based research and test bed validations conducted by universities in the software defined radio (SDR) and cognitive radio (CR) fields. With the recently released version of National Instruments (NI) LabVIEW, the USRP now offers a scalable, simpler, and easier to use combined platform. The new software support broadens the accessibility of the USRP platform for teaching applications and will spur further adoption within university communication systems classrooms, teaching laboratories, and their natural follow-on coursework. This paper will discuss the utilization of LabVIEW-based virtual instrumentation with the USRP to rapidly create real-time communication systems demonstrations for the classroom and/or laboratory settings. The combination of the USRP, LabVIEW, and Windows support enables implementation and exploration of both foundational and more advanced concepts related to signal processing and communications.
Keywords :
cognitive radio; computer aided instruction; educational institutions; software radio; teaching; telecommunication computing; telecommunication engineering education; virtual instrumentation; National Instruments LabVIEW; Windows support enables implementation; cognitive radio; follow-on coursework; hardware-based research; real-time communication system demonstration; signal processing; software defined radio teaching; teaching laboratories; test bed validation; universal software radio peripheral family; university communication systems classroom; virtual instrumentation; Computers; Digital signal processing; Educational institutions; Laboratories; Receivers; Software radio; Communication Engineering Education;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech and Signal Processing (ICASSP), 2012 IEEE International Conference on
Conference_Location :
Kyoto
ISSN :
1520-6149
Print_ISBN :
978-1-4673-0045-2
Electronic_ISBN :
1520-6149
Type :
conf
DOI :
10.1109/ICASSP.2012.6288496
Filename :
6288496
Link To Document :
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