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Thesis: CHANNEL AND DELAY ESTIMATION ALGORITHMS FOR WIRELESS COMMUNICATION SYSTEMS
By Marius Sirbu
This thesis addresses the problem of channel and propagation delay estimation in wireless communication systems. Channel estimation and equalization compensate for channel distortions. Consequently, transmitted data may be reliably recovered. A feasible communication link, in both single user and multi-user communications, requires synchronization between the transmitter and the receiver. Traditional channel estimation and synchronization methods use training data, therefore decreasing the eective data rates. More efficient methods which use smaller amounts of training data are of great interest. In particular blind equalization methods, as well as receiver based synchronization methods enable higher eective data rates.
_Thesis-Channel and Delay Estimation Algorithms for Wireless Communicaiton Systems.pdf
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