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Course11710411874 lectures

Principles of Signal Estimation for MIMO/ OFDM Wireless Communication

Prof. Aditya K. Jagannatham · IIT Kanpur

Start with lecture 1 At NPTEL

Lectures

week-01

  1. Lec 01- Basics–Sensor Network and Noisy Observation Model Video
  2. Lec 02 - Likelihood Function and Maximum Likelihood (ML) Estimate Video
  3. Lec 03- Properties of Maximum Likelihood (ML) Estimate – Mean and Unbiasedness Video
  4. Lec 04- Properties of Maximum Likelihood (ML) Estimate – Variance and Spread Around Mean Video
  5. Lec 05- Reliability of the Maximum Likelihood (ML) Estimate – Number of Samples Required Video

week-02

  1. Lec 06- Estimation of Complex Parameters - Symmetric Zero Mean Complex Gaussian Noise Video
  2. Lec 07- Wireless Fading Channel Estimation – Pilot Symbols and Likelihood Function Video
  3. Lec 08- Wireless Fading Channel Estimation – Pilot/Training based Maximum Likelihood (ML) Estimate Video
  4. Lec 09- Wireless Fading Channel Estimation – Mean and Variance of Pilot / Training Based Maximum Likellihood (ML) Estimate Video
  5. Lec 10- Example – Wireless Fading Channel Estimation for Downlink Mobile Communication Video

week-03

  1. Lec 11-Cramer Rao Bound (CRB) for Parameter Estimation Video
  2. Lec 12- Cramer Rao Bound (CRB) Example – Wireless Sensor Network Video
  3. Lec 13- Vector Parameter Estimation – System Model for Multi Antenna Downlink Channel Estimation Video
  4. Lec 14- Likelihood Function and Least Squares Cost Function for Vector Parameter Estimation Video
  5. Lec 15-Least Squares Cost Function for Vector Parameter Estimation Vector Derivative/ Gradient Video

week-04

  1. Lec 16- Least Squares Solution, Maximum Likelihood (ML) Estimate, Pseudo-Inverse Video
  2. Lec 17-Properties of Least Squares Estimate – Mean Covariance and Distribution Video
  3. Lec 18-Least Squares Multi-Antenna Downlink Maximum Likelihood Channel Estimation Video

week-05

  1. Lec 19 - Multiple-Input Multiple-Output(MIMO) Channel Estimation – Least Squares Maximum Likelihood (ML) Estimate Video
  2. Lec 20 - Example - Least Squares Multiple Input Multiple Output (MIMO) Channel Estimation Video
  3. Lec 21- Channel Equalization and Inter Symbol Interference (ISI) Model Video

week-06

  1. Lec 22- Least Squares based Zero Forcing Channel Equalizer Video
  2. Lec 23: Example of ISI Channel and Least Squares Based Zero Forcing Channel Equalizer Video
  3. Lec 24- Equalization and Approximation Error for Zero Forcing Channel Equalizer Video

week-07

  1. Lec 25-Example:Equalization and Approximation Error for Zero Forcing Channel Equalizer Video
  2. Lec 26-Introduction to Orthogonal Frequency Division Multiplexing OFDM – Cyclic Prefix (CP) and Circular Convolution Video
  3. Lec 27-Introduction to Orthogonal Frequency Division Multiplexing OFDM – FFT at Receiver and Flat Fading Across Each Subcarrier Video
  4. Lec 28- Channel Estimation Across Each Subcarrier in Orthogonal Frequency Division Multiplexing (OFDM) Video
  5. Lec 29- Example Orthogonal Frequency Division Multiplexing (OFDM) – Transmission of Samples with Cyclic Prefix (CP) Video
  6. Lec 30- Example Orthogonal Frequency Division Multiplexing (OFDM) – FFT at Receiver and Channel Estimation Across Subcarriers Video
  7. Lec 31-Comb Type Pilot (CTP) Based Orthogonal Frequency Division Multiplexing (OFDM) Channel Estimation-Block Structure Video
  8. Lec 32- Comb Type Pilot (CTP) Based Orthogonal Frequency Division Multiplexing (OFDM) Channel Estimation- Estimation Scheme Video
  9. Lec 33-Example Comb Type Pilot (CTP) Based Orthogonal Frequency Division Multiplexing (OFDM) Channel Estimation Video

week-08

  1. Lec 34- Frequency Domain Equalization (FDE) for Inter Symbol Interference (ISI) Removal in Wireless Systems Video
  2. Lec 35- Example Frequency Domain Equalization (FDE) for Inter Symbol Interference (ISI) Removal in Wireless Systems-Transmission Structure Video
  3. Lec 36- Example Frequency Domain Equalization FDE for Inter Symbol Interference ISI Removal in Wireless Channels Video
  4. Lec 37-Introduction to Sequential Estimation – Application in Wireless Channel Estimation Video
  5. Lec 38- Sequential Estimation of Wireless Channel Coefficient – Estimate and Variance Update Equations Video
  6. Lec 39- Example- Sequential Estimation of Wireless Channel Coefficient Video
  7. Lec 40- Basics – Introduction to Bayesian Minimum Mean Squared Error (MMSE) Estimation Video
  8. Lec 41- Optimal Bayesian Minimum Mean Squared Error (MMSE) Estimate Video

week-09

  1. Lec 42- Derivation of Minimum Mean Squared Error (MMSE) Estimate for Gaussian Parameter – Part I Video
  2. Lec 43- Derivation of Minimum Mean Squared Error (MMSE) Estimate for Gaussian Parameter – Part II Video
  3. Lec 44- Derivation of Minimum Mean Squared Error (MMSE) Estimate for Gaussian Parameter- Non-Zero Mean and Vector Parameter/Observation Video
  4. Lec 45- Minimum Mean Squared Error (MMSE) Estimation Application – Wireless Sensor Network Video
  5. Lec 46- Simplification and Example of Minimum Mean Squared Error MMSE Estimate for Wireless Sensor Network Video
  6. Lec 47-Minimum Mean Squared Error (MMSE) Estimation Application – Wireless Fading Channel Estimation Video
  7. Lec 48- Simplification and Example of Minimum Mean Squared Error (MMSE) Estimate for Wireless Fading Channel Video

week-10

  1. Lec 49- Minimum Mean Squared Error (MMSE) for Wireless Sensor Network (WSN) – Derivation and Example Video
  2. Lec 50- Reliability of Minimum Mean Squared Error (MMSE) Estimate-Part I Video
  3. Lec 51-Reliability of Minimum Mean Squared Error (MMSE) Estimate – Part II Video
  4. Lec 52-Minimum Mean Squared Error MMSE for Wireless Fading Channel Estimation – Derivation Video
  5. Lec 53- Minimum Mean Squared Error (MMSE) for Wireless Fading Channel Estimation-Example and Properties of Complex Channel Coefficient Estimate Video
  6. Lec 54- Linear Minimum Mean Squared Error (LMMSE) Estimate Derivation – Part I Video
  7. Lec 55-Linear Minimum Mean Squared Error (LMMSE) Estimate Derivation – Part II Video
  8. Lec 56-Vector Parameter Estimation-System Model for Multi-Antenna Downlink Channel estimation Video

week-11

  1. Lec 57-Linear Minimum Mean Squared Error (LMMSE) Estimate for Multi Antenna Downlink Wireless Channel Estimation- Part I Video
  2. Lec 58- Linear Minimum Mean Squared Error (LMMSE) Estimate for Multi Antenna Downlink Wireless Channel Estimation - Part II Video
  3. Lec 59- Example of Linear Minimum Mean Squared Error (LMMSE) Estimation for Multi Antenna Downlink Wireless Channel Video
  4. Lec 60- Derivation and Example of Error Covariance of Multi Antenna (LMMSE) Channel Estimation Video
  5. Lec 61- System Model for Multiple Input Multiple Output (MIMO) Downlink Wireless Channel Estimation Video
  6. Lec 62- Channel/ Noise Statistics for MIMO Downlink Wireless Channel Estimation Video
  7. Lec 63- LMMSE/ MMSE Estimation for MIMO Downlink Wireless Channel Estimation Video
  8. Lec 64- Example of LMMSE/ MMSE Estimation for MIMO Downlink Wireless Channel Estimation Video

week-12

  1. Lec 65- Introduction and system model for equalization Video
  2. Lec 66- Linear Minimum Mean Square Error (LMMSE) Channel Equalization Video
  3. Lec 67- Error for (LMMSE )Channel Equalizer and Example of(LMMSE) Channel Equalization Video
  4. Lec 68- Example of Linear Minimum Mean Square Error (LMMSE) Channel Equalization Video
  5. Lec 69- Introduction and system model for OFDM Video
  6. Lec 70- Introduction to Orthogonal Frequency Division Multiplexing(OFDM)- FFT at Receiver and Flat Fading Across Each Subcarrier Video
  7. Lec 71- LMMSE Estimation for OFDM Channel Coefficient Across Each Subcarrier- Part-I Video
  8. Lec 72 - LMMSE Estimate of the OFDM Channel Coefficient Across Each Subcarrier-Part-II Video
  9. Lec 73- Example Orthogonal Frequency Division Multiplexing(OFDM) Transmission Of Samples with Cyclic Prefix(CP) Part-I Video
  10. Lec 74-Example Orthogonal Frequency Division Multiplexing(OFDM) -LMMSE Estimation of Channel Coefficients and resulting MSE -Part- II Video

Syllabus and materials

At NPTEL, as the course publishes them.

Credits and licence

Institution
IIT Kanpur
Department
Electronics & Communication Engineering
Teacher
Prof. Aditya K. Jagannatham
Level
Undergraduate
Language
English
Subjects
Engineering, Society and politics
Source
NPTEL
Licence
CC BY-NC-SA, as NPTEL states it. Non-commercial use only. NPTEL's terms
Attribution
NPTEL states: "Distributed under Creative Commons Attribution-ShareAlike / CC BY - NC - SA", beside a BY-NC-SA badge.
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