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Difference between revisions of "Channel Shortening Prefilter"

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[[File:ChannelShortening.png|thumb|A channel shortening prefilter concentrates the energy of the Channel Impulse Response (CIR) towards the first few taps.]]
#REDIRECT [[VLSI Implementation of a Channel Shortener]]
==Short Description==
In a wireless system with a multi-tap Channel Impulse Response (CIR) the receiver is confronted with a computationally challenging issue: Inter Symbol Interference (ISI) and Viterbi equalization. In particular as modern cellular standards tend to use ever higher modulation orders (up to 32-QAM) for Evolved EDGE, the equalizer becomes ever more complex. There exist various approaches to mitigate the induced ISI by a multi-tap CIR. The approach presented in [1] uses a channel shortening prefilter before equalization. Thus, ISI is mitigated to a large extent and the Viterbi equalizer's complexity is reduced. Said channel shortening prefilter has been thoroughly analyzed at the institute and a fix-point model has been built in MATLAB. In this project, the students ought to understand the channel shortening prefilter from [1] and implement it on an ASIC. The goal is to have an ultra-low power channel shortening prefilter.
===Status: Available ===
: Looking for 1-2 Semester students
: Contact: [[User:Weberbe|Benjamin Weber]]
: 20% Theory/Simulation
: 50% VHDL
: 30% ASIC Implementation
: [ Qiuting Huang]
[1] Fredrik Rusek, Adnan Prlja. Optimal Channel Shortening for MIMO and ISI Channels. In ''Wireless Communications, IEEE Transactions on'', vol. 11, no. 2, pages 810–818, 2012.
[2] Harald Kröll, Stefan Zwicky, Thomas Willi, Andreas Burg, Qiuting Huang. Optimal Channel Shortening and Equalization based on Information Rate Maximization for Enhanced 2G Networks. In ''TBD'', pages TBD, TBD.
[[Category:Semester Thesis]]

Latest revision as of 11:19, 30 July 2015