The ability to track human movement is useful for wide ranging security and safety applications. A number of technologies have been explored for detecting and tracking humans. This research is going to focus on detecting human by Ultra Wide Band (UWB) Radar in cluttered environment like mines. UWB has some advantages like the ability to function in poor visibility and varying temperature over other technologies like vision or infrared. The task will be to develop signal processing algorithms for radar echo signals to characterize them for distinction between targets.
Comparison of UWB Radar Back-Scattering by the Human Torso and a Phantom (Sep 2018) Melika Hozhabri, Per Olov Risman, Nikola Petrovic 2018 IEEE CAMA Conference on Antenna Measurement and Applications (CAMA 2018)
Study of the Environment Effect by M-Sequence UWB Radar on Detection of a Walking Human (Oct 2016) Melika Hozhabri, Per Olov Risman, Nikola Petrovic 2016 IEEE Conference on Antenna Measurements & Applications (CAMA) (CAMA 2016)
Experimental Comparison Study of UWB Technologies for Static Human Detection (Oct 2016) Melika Hozhabri, Magnus Otterskog, Nikola Petrovic, Martin Ekström IEEE International Conference on Ubiquitous Wireless Broadband (ICUWB 2016) ( ICUWB 2016)
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