Zhang, Z., & Wu, Z., & Wang, B. (2016, June), Software Defined Radio-based Signal Detection and RF Parameter Estimation Platform for Enhancing Electrical and Computer Engineering Curricula  Paper presented at 2016 ASEE Annual Conference & Exposition, New Orleans, Louisiana. 10.18260/p.25836

\bibitem{asee_peer_25836}
  Zhang, Z., \& Wu, Z., \& Wang, B. (2016, June), \emph{Software Defined Radio-based Signal Detection and RF Parameter Estimation Platform for Enhancing Electrical and Computer Engineering Curricula}
  Paper presented at 2016 ASEE Annual Conference \& Exposition, New Orleans, Louisiana.
  10.18260/p.25836

Zhiping Zhang, Zhiqiang Wu, and Bin Wang.  "Software Defined Radio-based Signal Detection and RF Parameter Estimation Platform for Enhancing Electrical and Computer Engineering Curricula".  2016 ASEE Annual Conference & Exposition, New Orleans, Louisiana, 2016, June.  ASEE Conferences, 2016.  https://peer.asee.org/25836 Internet.  23 Apr, 2024

\bibitem{asee_peer_25836}
  Zhiping Zhang, Zhiqiang Wu, and Bin Wang.
  "Software Defined Radio-based Signal Detection and RF Parameter Estimation Platform for Enhancing Electrical and Computer Engineering Curricula".
  \emph{2016 ASEE Annual Conference \& Exposition, New Orleans, Louisiana, 2016, June}.
  ASEE Conferences, 2016.
  https://peer.asee.org/25836 Internet.  23 Apr, 2024

@INPROCEEDINGS{asee_peer_25836
author = "Zhiping Zhang, Zhiqiang Wu, and Bin Wang"
title = "Software Defined Radio-based Signal Detection and RF Parameter Estimation Platform for Enhancing Electrical and Computer Engineering Curricula"
booktitle = "2016 ASEE Annual Conference \& Exposition"
year = "2016"
month = "June"
address = "New Orleans, Louisiana"
publisher = "ASEE Conferences"
note = {https://peer.asee.org/25836}
number = {10.18260/p.25836}
}

TY  - CPAPER
AB  - The advances of communication and networking have changed the world fundamentally. Communication and networking courses, especially wireless communication and networking courses, have become an integral part of the Electrical Engineering, Computer Science, and Computer Engineering curricula. However, most of these courses are taught at many institutions without a laboratory. For those courses associated with labs, often special hardware based experiment systems are used. These experiment systems are expensive so most schools cannot afford them. More importantly, such systems lack the flexibility to evolve over time and adapt to different environments. 
Supported by a NSF TUES type II project, we have developed a software defined radio (SDR) based signal detection and radio frequency (RF) parameter estimation platform for enhancing electrical and computer engineering curricula. In our previous NSF funded CCLI project “Evolvable wireless laboratory design and implementation for enhancing undergraduate wireless engineering education”, we have developed and demonstrated the first nationwide example of evolvable SDR based laboratories for three existing undergraduate courses. In this project, we are developing new lab components that can be adopted by multiple courses ranging from freshman year introductory course to senior year capstone design projects. Specifically, we have developed a SDR based signal detection and RF parameter estimation platform which can be adopted by many courses of electrical and computer engineering curricula. This SDR based platform is equipped with a user-friendly graphical user interface (GUI). Students can easily adjust the center frequency and bandwidth of the RF spectrum and choose different signal detection/RF parameter estimation algorithms. The GUI also displays the RF signal captured by the SDR, the instantaneous spectrum, statistical analysis of the signal such as cumulative distribution function (CDF). We have integrated a suite of signal detection and RF parameter estimation algorithms in the platform, including energy based detection, matched filter based detection, cyclostationary analysis based detection, fourth order cumulants based detection, etc. The platform is capable of detecting unknown RF signals, estimating their RF parameters such as carrier frequency, symbol rate, and modulation type.   
This platform can be adopted by many undergraduate and graduate level courses of electrical and computer engineering. Such courses include digital communication and wireless communication, microwave technology, radar, antenna design, communication network, cyber security, etc. The user-friendly GUI of this platform makes it a useful tool to attract high school students and freshmen year students into STEM fields. The light weight and portable nature of the SDRs make this platform easily transferable from one place to another, making it an attractive tool for capstone senior design teams as well.
Through collaboration among the three participating institutions (including an Historically Black College)), the developed SDR based general modulation/demodulation platform will be integrated in undergraduate curricula of all three institutions. 

AU  - Zhiping Zhang
AU  - Zhiqiang Wu
AU  - Bin Wang
CY  - New Orleans, Louisiana
DA  - 2016/06/26
PB  - ASEE Conferences
TI  - Software Defined Radio-based Signal Detection and RF Parameter Estimation Platform for Enhancing Electrical and Computer Engineering Curricula
UR  - https://peer.asee.org/25836
DO  - 10.18260/p.25836
ER  -