Development of a Software-Defined-Radio-Based Radar Platform for Snow Thickness Measurement

This paper presents simulation results for measuring snow thickness using a Software-Defined-Radio (SDR) based radar platform mounted on an unmanned aerial vehicle (UAV). The radar operates as a Stepped-Frequency Continuous Wave (SFCW) system with a range frequency of <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$1-2 \text{GHz}$</tex> and a frequency step size of <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$\mathbf{1 5} \mathbf{~ M H z}$</tex>. The simulations are conducted over a 100-meter open area, demonstrating the radar's ability to identify the boundaries between air and snow as well as snow and ground. The system achieves a snow thickness measurement resolution of 11 cm under the assumption of a snow permittivity of 1.75. The algorithms and methods developed in this project will be used for future field-based campaigns for snow thickness retrievals over terrestrial and sea ice covered regions.

Authors

Institutions

Publication Details

Published
2025-07-20
DOI
https://doi.org/10.1109/antem64578.2025.11114185
Primary Topic
Cryospheric studies and observations
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Development of a Software-Defined-Radio-Based Radar Platform for Snow Thickness Measurement

Dustin Isleifson, Shaghayegh Shahiri Tabarestani
Cryospheric studies and observations
article

Development of a Software-Defined-Radio-Based Radar Platform for Snow Thickness Measurement

Dustin Isleifson, Shaghayegh Shahiri Tabarestani
article en

Abstract

This paper presents simulation results for measuring snow thickness using a Software-Defined-Radio (SDR) based radar platform mounted on an unmanned aerial vehicle (UAV). The radar operates as a Stepped-Frequency Continuous Wave (SFCW) system with a range frequency of <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$1-2 \text{GHz}$</tex> and a frequency step size of <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$\mathbf{1 5} \mathbf{~ M H z}$</tex>. The simulations are conducted over a 100-meter open area, demonstrating the radar's ability to identify the boundaries between air and snow as well as snow and ground. The system achieves a snow thickness measurement resolution of 11 cm under the assumption of a snow permittivity of 1.75. The algorithms and methods developed in this project will be used for future field-based campaigns for snow thickness retrievals over terrestrial and sea ice covered regions.

University of Manitoba (CA)
Climate action
Openalex Percentile: Top 74%
Cryospheric studies and observations
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.