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Courses » Basics of Software Defined Radios and practical applications

Basics of Software Defined Radios and practical applications

ABOUT THE COURSE

Software-defined radio (SDR) is an inherent part of modern communication system, where many processes, which used to be implemented in hardware, are defined in software domain for flexibility and configurability. This course describes various components of software-defined-radios with the understanding of their limitation and application of ‘software-defined-solutions’ to overcome such limitations. Understanding the interplay of analog and digital signal processing for power as well as spectrum efficient transmission and reception of signal leads to an optimized, yet, practical radio solution. This course will allow students to understand (1) the terminology used in industrial data-sheets and (2) motivation for selecting appropriate commercial solutions for a practical transceiver design.

INTENDED AUDIENCE

Both UG/PG can take this course, Industry people can also register.

PREREQUISITES

Basic knowledge of Signal processing and communication concepts may be useful.
It is an elective course for UG and PG both.

INDUSTRIES THAT WILL RECOGNIZE THIS COURSE

Telecommunication Industry, Defence Industry , Aeronautical Industry, and Space Industry.

2205 students have enrolled already!!

ABOUT THE INSTRUCTOR



Dr. Meenakshi Rawat  received the BTech degree in electrical engineering from the GovindBallabh Pant University of Agriculture and Technology, Uttarakhand, India, in 2006, and the MSc and PhD degrees in electrical and computer engineering from the University of Calgary, Calgary, AB, Canada, in 2012. From September 2012 to June 2013, she was a Post-Doctoral Research Fellow with the University of Calgary. From July 2013 to June 2014, she was a Post-Doctoral Project Researcher/Scientist with the Ohio State University. She is currently an Assistant Professor with the Indian Institute of Technology (IIT), Roorkee, Uttarakhand, India. Dr. Rawat was workshop co-chair for ARFTG-82 and session co-chair for MMwave and THz Designs for iMARC 2014, Bangalore, India. She was part of the Calgary group that won Overall Championship and Best Design Prize of the 3rd Annual Smart Radio Challenge, Wireless Innovation Forum. She was also the three-time recipient of the ResearchProduction Award in the University of Calgary and Best Poster Award of the 82nd Automatic RF Techniques Group (ARFTG) Conference, Columbus, OH, USA, in 2013. She is currently handling four research projects with funding from defense, private telecommunication industries and one internationational funding related to SDR for 5G communication.Recently, she was listed as Featured Engineer on EEweb.com

COURSE OUTLINE

Week1: Basic components of software defined radios, Software defined radio architectures-Part A, Software defined radio architectures- Part B 
Week2: Distortion parameters-Sources and metrics of distortion in a transceiver,Nonlinear distortion and nonlinearity specifications, Power amplifiers: Nonlinear Distortion in Transmitted Signals 
Week3: Power amplifier Line-up for linearity & power requirement calculations,Linearization Techniques for nonlinear distortion in SDR, Predistortion Techniques for nonlinear distortion in SDR
Week4:  Digital Predistortion Techniques for Linear/Nonlinear Distortion

SUGGESTED READING

Patrick Roblin, “Nonlinear RF circuits and nonlinear vector network analyzers: interactive measurement and design techniques”, Cambridge University Press, 2011.
F. M. Ghannouchi, O. Hammi and M. Helaoui, “Behavioral modeling and predistortion of wideband wireless transmitters”, John Wiley & Sons, 2015.
John Wood, “Behavioral modeling and linearization of RF power amplifiers”, Artech House, 2014.
P.B. Kenington, “RF and Baseband Techniques for Software Defined Radio”, Norwood, MA, USA: Artech House, 2005.

Additional reading

K. Gumber and M. Rawat, "A Modified Hybrid RF Predistorter Linearizer for Ultra Wideband 5G Systems," IEEE Journal on Emerging and Selected Topics in Circuits and Systems, vol. 7, no. 4, pp. 547-557, Dec. 2017.
G. C. Tripathi, M. Rawat, S. Kamath, and M. V. Kartikeyan. "Linearization of traveling-wave tube amplifiers using digitally supported signal injection technique," Journal of Electromagnetic Waves and Applications, vol. 31, no. 17, pp. 1802-1815, 2017.
P. Jaraut, and M. Rawat, “Application of principal component analysis based effective digital predistortion technique for low‐ cost FPGA implementation,” Int. J. of RF and Microw. Comput.‐Aided Eng., 2017, DOI: 10.1002/mmce.21095.
G. C. Tripathi, M. Rawat, “Delay compensation for 4G/5G Transmitter System Characterization” Microw, Opt. Technol. Lett., vol. 59, no. 8, pp. 1887-1890, 2017.
P. Jaraut, M. Rawat, and F. M. Ghannouchi, “Composite Neural Network Digital Predistortion Model for Joint Mitigation of Crosstalk, I/Q Imbalance, Nonlinearity in MIMO Transmitters,” IEEE Trans. Microw. Theory Techn., vol. 66, no. 11, pp. 5011–5020, Nov. 2018.
P. Jaraut, M. Rawat, and F. M. Ghannouchi, “Curtailed Digital Predistortion Model for Crosstalk in MIMO Transmitters,” in IEEE MTT-S Int. Microw. Symp. Dig., Philadelphia, PA, USA, Jun. 2018, pp. 927–930.
M. Rawat and F. M. Ghannouchi, “A mutual distortion and impairment compensator for wideband direct-conversion transmitters using neural networks,” IEEE Trans. Broadcast., vol. 58, no. 2, pp. 168–177, Jun. 2012.
M. Rawat, K. Rawat, and F. M. Ghannouchi, “Adaptive digital predistortion of wireless power amplifiers/transmitters using dynamic real-valued focused time-delay line neural networks,” IEEE Trans. Microwave Theory Tech., vol. 58, no. 1, pp. 95–104, Jan. 2010.
CERTIFICATION EXAM :
  • The exam is optional for a fee.
  • Date of Exam: March 31st 2019 (Sunday).
  • Time of Exam: Morning session 9am to 2 noon; Afternoon session: 2pm to 5pm
  • Registration url: Announcements will be made when the registration form is open for registrations.
  • The online registration form has to be filled and the certification exam fee needs to be paid. More details will be made available when the exam registration form is published.
CERTIFICATION:

  • Final score will be calculated as : 25% assignment score + 75% final exam score
  • 25% assignment score is calculated as 25% of average of  Best 3 out of 4 assignments
  • E-Certificate will be given to those who register and write the exam and score greater than or equal to 40% final score. Certificate will have your name, photograph and the score in the final exam with the breakup.It will have the logos of NPTEL and IIT Roorkee. It will be e-verifiable at nptel.ac.in/noc.