Difference between revisions of "VLSI Implementation of a Low-Complexity Channel Shortener for 2G EC-GSM-IoT and Evolved EDGE"
From iis-projects
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− | [[File:channel_shortening.png| | + | [[File:channel_shortening.png|thumb]] |
==Short Description== | ==Short Description== | ||
− | Today's wireless devices have to deal with multi-path propagation caused by reflecting objects along the receive paths. These reflections lead to a long channel impulse | + | Today's wireless devices have to deal with multi-path propagation caused by reflecting objects along the receive paths. These reflections lead to a long channel impulse response, which makes the channel equalization complex. Therefore channel shortening filters are used to transform the long channel impulse response into a shorter one. At IIS during the last years, several channel shortening algorithms and implementations have been presented. |
− | Your task in this project is to design and implement a hardware architecture of a novel channel shortening algorithm we developed recently [1]. You will get a MATLAB implementation of the algorithm as a reference implementation, from which you can start building your architecture. After you sketched a block diagram, you will implement the architecture in | + | Your task in this project is to design and implement a hardware architecture of a novel channel shortening algorithm we developed recently [1]. You will get a MATLAB implementation of the algorithm as a reference implementation, from which you can start building your architecture. After you sketched a block diagram, you will implement the architecture in HDL. Synthesis and Place&Route using CAD tool lead to an ASIC implementation. |
− | ===Status: | + | ===Status: In Progress === |
− | : | + | : Students: Robert Balas and Georg Rütishauser (sem16h7) |
− | : Supervision: [[:User: | + | : Supervision: [[:User:Weberbe|Benjamin Weber]], [[:User:Mkorb|Matthias Korb]] |
===Character=== | ===Character=== | ||
: 30% Theory/Matlab | : 30% Theory/Matlab | ||
− | : 70% | + | : 70% HDL, Synthesis, Place&Route |
===Prerequisites=== | ===Prerequisites=== | ||
: VLSI I | : VLSI I | ||
− | : Matlab | + | : Matlab |
===Professor=== | ===Professor=== | ||
Line 23: | Line 23: | ||
==References== | ==References== | ||
− | [1] | + | [1] Hu, Sha, et al. "A Low-complexity Channel Shortening Receiver with Diversity Support for Evolved 2G Devices." ''IEEE International Conference on Communications''. 2016. |
[[Category:Digital]] | [[Category:Digital]] | ||
− | |||
[[Category:Semester Thesis]] | [[Category:Semester Thesis]] | ||
− | [[Category: | + | [[Category:In progress]] |
− | |||
[[Category:ASIC]] | [[Category:ASIC]] | ||
[[Category:Telecommunications]] | [[Category:Telecommunications]] | ||
[[Category:Weberbe]] | [[Category:Weberbe]] | ||
− | [[Category: | + | [[Category:Mkorb]] |
Revision as of 13:34, 19 September 2016
Contents
Short Description
Today's wireless devices have to deal with multi-path propagation caused by reflecting objects along the receive paths. These reflections lead to a long channel impulse response, which makes the channel equalization complex. Therefore channel shortening filters are used to transform the long channel impulse response into a shorter one. At IIS during the last years, several channel shortening algorithms and implementations have been presented.
Your task in this project is to design and implement a hardware architecture of a novel channel shortening algorithm we developed recently [1]. You will get a MATLAB implementation of the algorithm as a reference implementation, from which you can start building your architecture. After you sketched a block diagram, you will implement the architecture in HDL. Synthesis and Place&Route using CAD tool lead to an ASIC implementation.
Status: In Progress
- Students: Robert Balas and Georg Rütishauser (sem16h7)
- Supervision: Benjamin Weber, Matthias Korb
Character
- 30% Theory/Matlab
- 70% HDL, Synthesis, Place&Route
Prerequisites
- VLSI I
- Matlab
Professor
References
[1] Hu, Sha, et al. "A Low-complexity Channel Shortening Receiver with Diversity Support for Evolved 2G Devices." IEEE International Conference on Communications. 2016.