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| Funder | Engineering and Physical Sciences Research Council |
|---|---|
| Recipient Organization | Queen Mary University of London |
| Country | United Kingdom |
| Start Date | Jan 19, 2021 |
| End Date | Jan 18, 2025 |
| Duration | 1,460 days |
| Number of Grantees | 2 |
| Roles | Student; Supervisor |
| Data Source | UKRI Gateway to Research |
| Grant ID | 2496930 |
The primary aim of the research is to design a passive high-gain planar mm-wave antenna which can be electronically scanned in two dimensions by reconfiguring the array feed network. In addition to this, the research aims to implement a design which could be realised using phase-change materials to minimise the insertion loss and size of a switch-line phase shifter, which is suitable for use in an antenna array feed network (this is fundamental to increasing the operating frequency well into the mm-wave bands).
Finally, the research also aims to reduce the complexity of configuring the antenna array by developing a machine learning algorithm to assist with the array design incorporating the switched-line phase shifters. The research aims to answer the following questions:
1) What benefits can be offered by distributing phase shifters throughout the array feed network rather than at each individual element?
2) Can phase-change materials facilitate sufficiently low-loss RF switches at mm-wave frequencies suitable for a reconfigurable antenna feed network?
3) Can a machine learning algorithm enable a reduction in the complexity of a large dual-scan array configuration by reducing the number of redundant phase states? To be updated in January 2024 (at Year 3 Progression)
Queen Mary University of London
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