Learn · Principles of Signal Estimation for MIMO/ OFDM Wireless Communication
Lecture 29 of 74week-07
Lec 29- Example Orthogonal Frequency Division Multiplexing (OFDM) – Transmission of Samples with Cyclic Prefix (CP)
Prof. Aditya K. Jagannatham · IIT Kanpur
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- Principles of Signal Estimation for MIMO/ OFDM Wireless Communication, IIT Kanpur (at NPTEL)
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All the lectures
- Lec 01- Basics–Sensor Network and Noisy Observation Model
- Lec 02 - Likelihood Function and Maximum Likelihood (ML) Estimate
- Lec 03- Properties of Maximum Likelihood (ML) Estimate – Mean and Unbiasedness
- Lec 04- Properties of Maximum Likelihood (ML) Estimate – Variance and Spread Around Mean
- Lec 05- Reliability of the Maximum Likelihood (ML) Estimate – Number of Samples Required
- Lec 06- Estimation of Complex Parameters - Symmetric Zero Mean Complex Gaussian Noise
- Lec 07- Wireless Fading Channel Estimation – Pilot Symbols and Likelihood Function
- Lec 08- Wireless Fading Channel Estimation – Pilot/Training based Maximum Likelihood (ML) Estimate
- Lec 09- Wireless Fading Channel Estimation – Mean and Variance of Pilot / Training Based Maximum Likellihood (ML) Estimate
- Lec 10- Example – Wireless Fading Channel Estimation for Downlink Mobile Communication
- Lec 11-Cramer Rao Bound (CRB) for Parameter Estimation
- Lec 12- Cramer Rao Bound (CRB) Example – Wireless Sensor Network
- Lec 13- Vector Parameter Estimation – System Model for Multi Antenna Downlink Channel Estimation
- Lec 14- Likelihood Function and Least Squares Cost Function for Vector Parameter Estimation
- Lec 15-Least Squares Cost Function for Vector Parameter Estimation Vector Derivative/ Gradient
- Lec 16- Least Squares Solution, Maximum Likelihood (ML) Estimate, Pseudo-Inverse
- Lec 17-Properties of Least Squares Estimate – Mean Covariance and Distribution
- Lec 18-Least Squares Multi-Antenna Downlink Maximum Likelihood Channel Estimation
- Lec 19 - Multiple-Input Multiple-Output(MIMO) Channel Estimation – Least Squares Maximum Likelihood (ML) Estimate
- Lec 20 - Example - Least Squares Multiple Input Multiple Output (MIMO) Channel Estimation
- Lec 21- Channel Equalization and Inter Symbol Interference (ISI) Model
- Lec 22- Least Squares based Zero Forcing Channel Equalizer
- Lec 23: Example of ISI Channel and Least Squares Based Zero Forcing Channel Equalizer
- Lec 24- Equalization and Approximation Error for Zero Forcing Channel Equalizer
- Lec 25-Example:Equalization and Approximation Error for Zero Forcing Channel Equalizer
- Lec 26-Introduction to Orthogonal Frequency Division Multiplexing OFDM – Cyclic Prefix (CP) and Circular Convolution
- Lec 27-Introduction to Orthogonal Frequency Division Multiplexing OFDM – FFT at Receiver and Flat Fading Across Each Subcarrier
- Lec 28- Channel Estimation Across Each Subcarrier in Orthogonal Frequency Division Multiplexing (OFDM)
- Lec 29- Example Orthogonal Frequency Division Multiplexing (OFDM) – Transmission of Samples with Cyclic Prefix (CP)
- Lec 30- Example Orthogonal Frequency Division Multiplexing (OFDM) – FFT at Receiver and Channel Estimation Across Subcarriers
- Lec 31-Comb Type Pilot (CTP) Based Orthogonal Frequency Division Multiplexing (OFDM) Channel Estimation-Block Structure
- Lec 32- Comb Type Pilot (CTP) Based Orthogonal Frequency Division Multiplexing (OFDM) Channel Estimation- Estimation Scheme
- Lec 33-Example Comb Type Pilot (CTP) Based Orthogonal Frequency Division Multiplexing (OFDM) Channel Estimation
- Lec 34- Frequency Domain Equalization (FDE) for Inter Symbol Interference (ISI) Removal in Wireless Systems
- Lec 35- Example Frequency Domain Equalization (FDE) for Inter Symbol Interference (ISI) Removal in Wireless Systems-Transmission Structure
- Lec 36- Example Frequency Domain Equalization FDE for Inter Symbol Interference ISI Removal in Wireless Channels
- Lec 37-Introduction to Sequential Estimation – Application in Wireless Channel Estimation
- Lec 38- Sequential Estimation of Wireless Channel Coefficient – Estimate and Variance Update Equations
- Lec 39- Example- Sequential Estimation of Wireless Channel Coefficient
- Lec 40- Basics – Introduction to Bayesian Minimum Mean Squared Error (MMSE) Estimation
- Lec 41- Optimal Bayesian Minimum Mean Squared Error (MMSE) Estimate
- Lec 42- Derivation of Minimum Mean Squared Error (MMSE) Estimate for Gaussian Parameter – Part I
- Lec 43- Derivation of Minimum Mean Squared Error (MMSE) Estimate for Gaussian Parameter – Part II
- Lec 44- Derivation of Minimum Mean Squared Error (MMSE) Estimate for Gaussian Parameter- Non-Zero Mean and Vector Parameter/Observation
- Lec 45- Minimum Mean Squared Error (MMSE) Estimation Application – Wireless Sensor Network
- Lec 46- Simplification and Example of Minimum Mean Squared Error MMSE Estimate for Wireless Sensor Network
- Lec 47-Minimum Mean Squared Error (MMSE) Estimation Application – Wireless Fading Channel Estimation
- Lec 48- Simplification and Example of Minimum Mean Squared Error (MMSE) Estimate for Wireless Fading Channel
- Lec 49- Minimum Mean Squared Error (MMSE) for Wireless Sensor Network (WSN) – Derivation and Example
- Lec 50- Reliability of Minimum Mean Squared Error (MMSE) Estimate-Part I
- Lec 51-Reliability of Minimum Mean Squared Error (MMSE) Estimate – Part II
- Lec 52-Minimum Mean Squared Error MMSE for Wireless Fading Channel Estimation – Derivation
- Lec 53- Minimum Mean Squared Error (MMSE) for Wireless Fading Channel Estimation-Example and Properties of Complex Channel Coefficient Estimate
- Lec 54- Linear Minimum Mean Squared Error (LMMSE) Estimate Derivation – Part I
- Lec 55-Linear Minimum Mean Squared Error (LMMSE) Estimate Derivation – Part II
- Lec 56-Vector Parameter Estimation-System Model for Multi-Antenna Downlink Channel estimation
- Lec 57-Linear Minimum Mean Squared Error (LMMSE) Estimate for Multi Antenna Downlink Wireless Channel Estimation- Part I
- Lec 58- Linear Minimum Mean Squared Error (LMMSE) Estimate for Multi Antenna Downlink Wireless Channel Estimation - Part II
- Lec 59- Example of Linear Minimum Mean Squared Error (LMMSE) Estimation for Multi Antenna Downlink Wireless Channel
- Lec 60- Derivation and Example of Error Covariance of Multi Antenna (LMMSE) Channel Estimation
- Lec 61- System Model for Multiple Input Multiple Output (MIMO) Downlink Wireless Channel Estimation
- Lec 62- Channel/ Noise Statistics for MIMO Downlink Wireless Channel Estimation
- Lec 63- LMMSE/ MMSE Estimation for MIMO Downlink Wireless Channel Estimation
- Lec 64- Example of LMMSE/ MMSE Estimation for MIMO Downlink Wireless Channel Estimation
- Lec 65- Introduction and system model for equalization
- Lec 66- Linear Minimum Mean Square Error (LMMSE) Channel Equalization
- Lec 67- Error for (LMMSE )Channel Equalizer and Example of(LMMSE) Channel Equalization
- Lec 68- Example of Linear Minimum Mean Square Error (LMMSE) Channel Equalization
- Lec 69- Introduction and system model for OFDM
- Lec 70- Introduction to Orthogonal Frequency Division Multiplexing(OFDM)- FFT at Receiver and Flat Fading Across Each Subcarrier
- Lec 71- LMMSE Estimation for OFDM Channel Coefficient Across Each Subcarrier- Part-I
- Lec 72 - LMMSE Estimate of the OFDM Channel Coefficient Across Each Subcarrier-Part-II
- Lec 73- Example Orthogonal Frequency Division Multiplexing(OFDM) Transmission Of Samples with Cyclic Prefix(CP) Part-I
- Lec 74-Example Orthogonal Frequency Division Multiplexing(OFDM) -LMMSE Estimation of Channel Coefficients and resulting MSE -Part- II