Reduced Complexity Sequential Monte Carlo Algorithms for Blind Receivers

Reduced Complexity Sequential Monte Carlo Algorithms for Blind Receivers

Monte Carlo algorithms can be used to estimate the state of a system given relative observations. In this dissertation, these algorithms are applied to physical layer communications system models to estimate channel state information, to obtain soft information about transmitted symbols or multiple...

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Bibliographic Details
Main Author: Ozgur, Soner
Format: Others
Language:en_US
Published: Georgia Institute of Technology 2006
Subjects:
Iterative receiver
Turbo receiver
Blind receiver
Monte Carlo method
Wireless communication systems
Line receivers (Integrated circuits)
Online Access:http://hdl.handle.net/1853/10518

Internet

http://hdl.handle.net/1853/10518

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