Difference between revisions of "Signal to Noise Ratio Estimation for 3G standards"
From iis-projects
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In this semester project you will implement an efficient SNR-estimation algorithm in order to obtain an energy and area-efficient solution. This can be done as a chip-design project, where an ASIC will be taped out and measured during the VLSI III lecture. | In this semester project you will implement an efficient SNR-estimation algorithm in order to obtain an energy and area-efficient solution. This can be done as a chip-design project, where an ASIC will be taped out and measured during the VLSI III lecture. | ||
− | ===Status: Available === | + | ===Status: No longer Available === |
− | : Looking for 1-2 Semester students | + | <!--: Looking for 1-2 Semester students |
: Contact: [[:User:Belfanti | Sandro Belfanti]] | : Contact: [[:User:Belfanti | Sandro Belfanti]] | ||
− | + | ---> | |
===Prerequisites=== | ===Prerequisites=== | ||
: VLSI I | : VLSI I | ||
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[[Category:Digital]] | [[Category:Digital]] | ||
− | |||
[[Category:Semester Thesis]] | [[Category:Semester Thesis]] | ||
[[Category:Belfanti]] | [[Category:Belfanti]] | ||
[[Category:ASIC]] | [[Category:ASIC]] | ||
[[Category:Telecommunications]] | [[Category:Telecommunications]] |
Latest revision as of 10:23, 14 April 2016
Contents
Short Description
In mobile communications, such as in the latest 3G standards, mobile phones usually operate in unfavorable environments. There is no line of sight, the base station is far away and other mobiles are interfering. Despite that we expect a reliable, error-free and fast connection. To achieve this goal and to combat all these negative influences we need to know the amount of noise in relation to the desired signal. This so-called signal-to-noise ratio (SNR) is the basis for almost any digital signal processing in a receiver.
In this semester project you will implement an efficient SNR-estimation algorithm in order to obtain an energy and area-efficient solution. This can be done as a chip-design project, where an ASIC will be taped out and measured during the VLSI III lecture.
Status: No longer Available
Prerequisites
- VLSI I
- MATLAB and VHDL is an advantage
Character
- 20% Theory/Simulation
- 50% VHDL
- 30% ASIC Implementation