Adaptive Equalization of Fast-Time Varying Channel for EDGE System Enhanced by Dual Symbol Rate
Date
2013-11
Authors
Twanabasu, Dinesh
Journal Title
Journal ISSN
Volume Title
Publisher
Pulchowk Campus
Abstract
Our modern society has transformed to an information-demanding system,
seeking voice, video, and data in quantities with high mobility that could not be
imagined even a decade ago. High data rate high mobility creates challenges to the
communication system. The challenge to the system is to conceive highly reliable
system unaffected by the problems caused in the multipath fading wireless
channels. Broadband single carrier modulated signals experience severe multipath
distortion scrambling & ISI when propagating through physical medium. To
mitigate the effect of channel a transmission burst includes a training sequence
which is known to the receiver and depending upon the effect of the channel in the
received training sequence the equalizer updated. In mobile communication due to
the relative motion between the mobile equipment and network element the
channel experienced is time varying. The properties of the equalizer used for
tracking such time varying channel have to be time varying hence adaptive. This
thesis focuses on fast time varying channel where each radio burst experiences
varying channel response. However for fast fading channel where each radio burst
experiences varying channel response a single training block in a radio burst may
not be sufficient to track the channel. In this thesis two training sequence are used
in a single burst of a DSR EDGE. A slight modification is done in the burst
structure to include two training sequence keeping the number of symbol in a
frame constant. A least mean square error based algorithm is used for equalization
of fast time-varying channel. The simulation of the system was done in Simulink.
The simulation of the communication system showed the equalization and
estimation of the symbols using two training sequence has better performance
than that with single training sequence used in DSR EDGE frame.
Description
Our modern society has transformed to an information-demanding system,
seeking voice, video, and data in quantities with high mobility that could not be
imagined even a decade ago.
Keywords
DSR, EDGE, Adaptive, Equalization, Fading, Channel, Training
Citation
Master of Science in Information and Communication Engineering,