Algorithms for wireless communications
|Professor|| Meyr Heinrich
|Course program|| MSc
Wireless communication is ubiquitous in embedded system. Unlike traditional courses on wireless communications focusing on communication theory we focus on digital signal processing performed by the receiver. The task of signal processing is to extract the information from the noisy signal in the antenna. We discuss the principle of coding used to combat transmission errors and the algorithms to recover the information by the decoder. An equally important task of the receiver is to estimate the channel parameters from the noisy signal. Without this knowledge the decoder is unable to operate. We discuss synchronization and channel estimation algorithms in detail. Understanding of the abstract theoretical concepts is complemented by a MATLAB based practical project.
Introduction: signal-and channel model, canonical receiver structure.
Communication theory summary
Digital receiver principles
Synchronization and channel parameter estimation
Transmission over the fading channel