Courses » Principles of Signal Estimation for MIMO/ OFDM Wireless Communication

Principles of Signal Estimation for MIMO/ OFDM Wireless Communication

Signal estimation theory provides a wide variety of tools and techniques which form the basis for several key applications in modern wireless communications and signal processing. Various signal processing procedures in communication systems such as channel estimation, equalization, synchronization etc, which are also employed in MIMO-OFDM based 3G/ 4G wireless systems, are based on fundamental concepts in estimation theory. Further, recent research developments in areas such as wireless sensor networks also employ several tools from estimation theory towards distributed parameter estimation etc. Therefore, principles of estimation are naturally of a significant interest in research and industry. A clear grasp of the basic principles of estimation can significantly enhance understanding by providing deeper insights into various techniques in signal processing and communication. Beginning with a brief overview of the basic concepts of maximum likelihood (ML) and Least Squares Estimation (LS), this course will comprehensively cover several applications of estimation theory in wireless communications such as channel estimation, equalization, MIMO, OFDM. Further, we will also cover Bayesian Estimation, MMSE, LMMSE principles.

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Weekly Assignments and Discussion Forum can be accessed ONLY by enrolling here

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All content including discussion forum and assignments, is free

Final Exam (in-person, invigilated, currently conducted in India) is mandatory for Certification and has INR Rs. 1100 as exam fee

Can be both core or elective. Core course for students in Signal Processing and Communications stream. Both UG/ PG can be allowed.  

BE/ME/MS /PhD can be allowed
Basic knowledge of
- Probability, random variables
- Linear Algebra, DSP

Most companies in wireless communications area should find this useful. Examples are Qualcomm, Broadcom, Intel etc.


Prof. Aditya K. Jagannatham (http://home.iitk.ac.in/~adityaj/index.html) received his Bachelors degree from the Indian Institute of Technology, Bombay and M.S. and Ph.D. degrees from the University of California, San Diego, U.S.A.. From April '07 to May '09 he was employed as a senior wireless systems engineer at Qualcomm Inc., San Diego, California, where he worked on developing 3G UMTS/WCDMA/HSDPA mobile chipsets as part of the Qualcomm CDMA technologies division. His research interests are in the area of next-generation wireless communications and networking, sensor and ad-hoc networks, digital video processing for wireless systems, wireless 3G/4G cellular standards and CDMA/OFDM/MIMO wireless technologies. He has contributed to the 802.11n high throughput wireless LAN standard and has published extensively in leading international journals and conferences. He was awarded the CAL(IT)2 fellowship for pursuing graduate studies at the University of California San Diego and in 2009 he received the Upendra Patel Achievement Award for his efforts towards developing HSDPA/HSUPA/HSPA+ WCDMA technologies at Qualcomm. Since 2009 he has been a faculty member in the Electrical Engineering department at IIT Kanpur, where he is currently an Associate Professor, and is also associated with the BSNL-IITK Telecom Center of Excellence (BITCOE). At IIT Kanpur he has been awarded the P.K. Kelkar Young Faculty Research Fellowship (June 2012 to May 2015) for excellence in research. His popular video lectures for the NPTEL (National Programme on Technology Enhanced Learning) course on Advanced 3G and 4G Wireless Mobile Communications can found at the following YouTube link ( NPTEL 3G/4G ).

Week 1- Basics of Estimation, Maximum Likelihood (ML)
Week 2-  Application: Wireless Sensor Network, Reliability of Estimation
Week 3- Application: Wireless Fading Channel Estimation, Cramer-Rao Bound for Estimation
Week 4- Vector Parameter Estimation, Properties of Estimate; Applications: Multi-antenna Wireless Channel Estimation
Week 5- Application: MIMO Wireless Channel Estimation, Error Covariance of Estimation, Equalization for Frequency Selective Channels
Week 6- Application: OFDM Estimation, Sequential Estimation 
Week 7- Minimum Mean-Squared Error (MMSE) Estimate, Gaussian Parameter 
Week 8- Application: Wireless Sensor Network, Wireless Fading Channel Estimation 
Week 9 – Application: MMSE Estimation for Multi-Antenna Channel 
Week 10 – Application: MMSE for MIMO Channel Estimation, Properties of Estimate
Week 11 – Application: MMSE for Equalization of Wireless Channel
Week 12 – Application: MMSE for OFDM Channel Estimation

  • The exam is optional for a fee.
  • Date of Exams : October 28 (Sunday)
  • Time of Exams : Morning session 9am to 12 noon; Afternoon session: 2pm to 5pm
  • Exam for this course will be available in both morning & afternoon sessions.
  • 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.


  • Final score will be calculated as : 25% assignment score + 75% final exam score
  • 25% assignment score is calculated as 25% of average of  Best 8 out of 12 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 Kanpur.It will be e-verifiable at nptel.ac.in/noc.