Intelligent UWB Network

Project Objective

Recently, many important application scenarios in 5G and beyond, such as autonomous vehicles, Wi-Fi sensing, and extended reality (XR), have encouraged the integration of sensing and wireless communication. The integrated sensing and communication (ISAC), in which the sensing and communication share the same frequency band and hardware, has emerged as a key technology in future wireless systems. Here we study how UWB and machine learning technologies can be used to achieve this in an intelligent manner.

Reading Material

• ​Clock Synchronization of Wireless Sensor Networks.
• ​IEEE 802.15.4a channel model.

Week 1 Activites

• Get ORBIT/COSMOS account and familiarize oneself with the testbed procedures.

• ​Week 1 Progress Presentation

Week 2 Activites

• Getting started with the literature overview for the project.

• ​Week 2 Progress Presentation

Week 3 Activites

• Literature overview of Wireless Sensor Network(WSNs) and Clock synchronization in WSNs.

• ​Week 3 Progress Presentation

Week 4 Activites

• Literature overview of Comparison of UWB based wireless clock synchronization algorithms.

• Started research for MATLAB simulation for clock synchronization.

• ​Week 4 Progress Presentation

Week 5 Activites

• Reviewed basic clock synchronization algorithm based on synchronization approaches studies in previous week.

• Ran simulations with one of the basic clock synchronization algorithm.

• Simulated and analysed UWB signal in MATLAB.

• ​Week 5 Progress Presentation

Week 6 Activites

• Review of “A Survey of Time Delay Estimation Performance Bounds”.

• Worked on simulations for UWB transceiver in MATLAB, which will be extended for clock synchronization algorithm.

• ​Week 6 Progress Presentation

Project Website

• ​Intelligent UWB Network Website