Multi-Carrier Receivers in the Presence of Interference

The technique of multi-carrier (MC) transmission has
received wide spread interest, especially for high
data rate applications. Sometimes, scarcity of
available bandwidth necessitates spectrum sharing
between the MC system and other narrow band systems.
If a part of the spectrum of the MC system is
overlapped by a relatively narrow band transmission
signal, the latter will introduce narrow band
interference to the MC system, hampering the proper
action of the MC system. In such scenarios, the MC
receiver has to perform actions, such as channel
estimation and synchronization, in the presence of
possibly strong in-band interference. In this book,
we study the effect of digitally modulated narrow
band interference signals on some popular
synchronization and channel estimation algorithms
for uncoded and coded MC transmission. We also modify these algorithms to have better performance
in the presence of interfernce. Further, we develop
a new low complexity algorithm to estimate and
suppress interferers located in the MC spectrum.

Autorentext

Mohamed Marey is a postdoctoral associate in the Faculty of Engineering and Applied science, Memorial University of Newfoundland, Canada. He obtained his Ph.D. in Electrical Engineering from Ghent university, Belgium, in 2008. He received the young scientist award from International Union of Radio Science (URSI) in 1999.

Klappentext

The technique of multi-carrier (MC) transmission has received wide spread interest, especially for high data rate applications. Sometimes, scarcity of available bandwidth necessitates spectrum sharing between the MC system and other narrow band systems. If a part of the spectrum of the MC system is overlapped by a relatively narrow band transmission signal, the latter will introduce narrow band interference to the MC system, hampering the proper action of the MC system. In such scenarios, the MC receiver has to perform actions, such as channel estimation and synchronization, in the presence of possibly strong in-band interference. In this book, we study the effect of digitally modulated narrow band interference signals on some popular synchronization and channel estimation algorithms for uncoded and coded MC transmission. We also modify these algorithms to have better performance in the presence of interfernce. Further, we develop a new low complexity algorithm to estimate and suppress interferers located in the MC spectrum.