Application of impulse radar to snow and ice penetration: a case for supporting snow layer modeling and characterizations

Jakob Fusselman; Yunish Shrestha; Hernan Suarez; Yan Rockee Zhang; Sudantha Perera; Gordon Pratt; Nicole Rota

doi:10.1117/12.2618261

27 May 2022 Application of impulse radar to snow and ice penetration: a case for supporting snow layer modeling and characterizations

Jakob Fusselman, Yunish Shrestha, Hernan Suarez, Yan Rockee Zhang, Sudantha Perera, Gordon Pratt, Nicole Rota

Author Affiliations +

Proceedings Volume 12108, Radar Sensor Technology XXVI; 121080I (2022) https://doi.org/10.1117/12.2618261
Event: SPIE Defense + Commercial Sensing, 2022, Orlando, Florida, United States

Abstract

In this study, we intended to verify simulations and measured data to support the development of an ultra-small and low power, handheld, or drone-carried ultra-wideband impulse radar (IR). Such a radar can remotely detect layers in snow or ice that tend to crack or break under certain conditions. First, we introduce the basic hardware design and configuration as a background, then we developed a series of electromagnetics sensing models, which can support training and testing of an algorithm based on machine-learning (ML), since the time-domain radar signatures of those hazardous structures are not widely available. We compared the principles and performance of these computational models and validated them with lab measurements and some initial snow measurements.

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Citation Download Citation

Jakob Fusselman, Yunish Shrestha, Hernan Suarez, Yan Rockee Zhang, Sudantha Perera, Gordon Pratt, and Nicole Rota "Application of impulse radar to snow and ice penetration: a case for supporting snow layer modeling and characterizations", Proc. SPIE 12108, Radar Sensor Technology XXVI, 121080I (27 May 2022); https://doi.org/10.1117/12.2618261

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