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Difference between revisions of "Low-power time synchronization for IoT applications"

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==Short Description==
 
==Short Description==
  
Wireless receivers need to estimate the time instant when data is transmitted as otherwise entire data packets are lost. Thus, accurate time synchronization is essential for reliable communication. The goal of this project is to develop a novel synchronization algorithm for multi-antenna wireless systems and implement it in hardware while minimizing area and power.
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Wireless receivers need to estimate the beginning of the data packet within the received signal as otherwise entire transmitted information is lost. This operation is called ''frame synchronization'' and it is essential for reliable communication. A common way to achieve frame synchronization is to send a special sequence, known to the receiver, called ''preamble''. The receiver can then search for the preamble using a correlation filter. The goal of this project is to develop a novel synchronization algorithm for multi-antenna wireless systems and implement it in hardware while minimizing area and power.
  
 
===Status: Available ===
 
===Status: Available ===

Latest revision as of 09:55, 16 June 2022

Sync iot project.png

Short Description

Wireless receivers need to estimate the beginning of the data packet within the received signal as otherwise entire transmitted information is lost. This operation is called frame synchronization and it is essential for reliable communication. A common way to achieve frame synchronization is to send a special sequence, known to the receiver, called preamble. The receiver can then search for the preamble using a correlation filter. The goal of this project is to develop a novel synchronization algorithm for multi-antenna wireless systems and implement it in hardware while minimizing area and power.

Status: Available

Looking for 1 Semester/Master students
Contact: Darja Nonaca

Prerequisites

Matlab or Python
VLSI I-II
Familiarity with the basics of digital communication is recommended but not strictly required

Character

50% MATLAB simulation
50% VLSI Implementation and Verification

Professor

Christoph Studer

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