Imperial College London

MrAlanBannon

Faculty of EngineeringDepartment of Electrical and Electronic Engineering

Research Associate in Embedded System or IC Design
 
 
 
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Contact

 

a.bannon Website

 
 
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Location

 

Bessemer B422Electrical EngineeringSouth Kensington Campus

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Summary

 

Summary

Alan joined the NGNI group in 2019 as a Research Assistant. Currently his research is centred around applying low equity radar systems to biometric sensing and human target identification and tracking.

As part of his duties at NGNI he manages the acoustic anechoic test chamber (Bessemer B504), the department’s premiere facility for low-noise precision acoustic, optical, and electronic measurement.

Alan completed his M.Eng degree in Electrical and Electronic Engineering at University College London. Focussing on radar systems, his joint final thesis on “Novel transceiver architectures for automatic target recognition in UAV-based SAR systems” won best Masters’ project in 2019.

Outside Imperial, Alan is a Visiting Researcher at the UCL Radar Group and continues to occasionally collaborate on publications and projects. In his spare time he practises and coaches archery and pursues an ever increasing number of personal engineering projects.

Publications

Journals

Hadjipanayi C, Yin M, Bannon A, et al., 2024, Remote gait analysis using ultra-wideband radar technology based on joint range-Doppler-time representation, Ieee Transactions on Biomedical Engineering, ISSN:0018-9294

Bannon A, Rapeaux A, Constandinou TG, 2021, Tiresias: A low-cost networked UWB radar system for in-home monitoring of dementia patients, 2021 43rd Annual International Conference of the Ieee Engineering in Medicine & Biology Society (embc), ISSN:1557-170X, Pages:7068-7072

Woollard M, Bannon A, Ritchie M, et al., 2019, Synthetic aperture radar automatic target classification processing concept, Electronics Letters, Vol:55, ISSN:0013-5194, Pages:1301-1303

Conference

Chen Z, Bannon A, Rapeaux A, et al., 2021, Towards robust, unobtrusive sensing of respiration using UWB impulse Radar for the care of people living with dementia, 10th International IEEE-EMBS Conference on Neural Engineering (NER), IEEE, Pages:866-871, ISSN:1948-3546

Bannon A, Capraru R, Ritchie M, 2020, Exploring gesture recognition with low-cost CW radar modules in comparison to FMCW architectures, 2020 IEEE International Radar Conference (RADAR), IEEE

More Publications