Drone Height from Ground Determination Using GNSS-R Based on Dual-Frequency GPS/BDS Signals

Conventional techniques to measure drone heights from the ground, including global navigation satellite systems (GNSSs), barometers, acoustic sensors, and LiDAR, are limited by their measurement ranges, an inability to directly obtain the height from the ground, or poor concealment. To overcome these shortcomings, we propose the use of GNSS reflectometry (GNSS-R) to determine a drone’s height from the ground. We conducted experiments over farmland and an urban road using a drone that carried an upward-looking right-hand circularly polarized (RHCP) antenna, a downward-looking left-hand circularly polarized (LHCP) antenna, and an intermediate frequency (IF) data collector to test the performance. Three flights were conducted in a bare soil scenario, a sparse apple orchard scenario, and an urban road scenario. A software-defined receiver was used to process the IF signal data to compute the one-dimensional time-delay-dependent power peak positions of the direct and reflected GNSS signals. Based on these peak positions, the path delay measurements between the direct and reflected signals were derived per second based on the BDS B1C and B2a, GPS C/A, and L5 signals. The drone heights were then retrieved. The results showed that the drone height retrieval accuracy could reach approximately 0.5–2 m.

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Publication Details

Journal
Remote Sensing
Published
2025-05-14
DOI
https://doi.org/10.3390/rs17101722
Citations
1
Primary Topic
GNSS positioning and interference
Type
article
Field-Weighted Citation Impact
4.99

Funders

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Drone Height from Ground Determination Using GNSS-R Based on Dual-Frequency GPS/BDS Signals

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article

Drone Height from Ground Determination Using GNSS-R Based on Dual-Frequency GPS/BDS Signals

Fan Gao, Weiwei Qin, Weijie Kang, Li Zhang, Yue Zhu
article en
1 citations

Abstract

Conventional techniques to measure drone heights from the ground, including global navigation satellite systems (GNSSs), barometers, acoustic sensors, and LiDAR, are limited by their measurement ranges, an inability to directly obtain the height from the ground, or poor concealment. To overcome these shortcomings, we propose the use of GNSS reflectometry (GNSS-R) to determine a drone’s height from the ground. We conducted experiments over farmland and an urban road using a drone that carried an upward-looking right-hand circularly polarized (RHCP) antenna, a downward-looking left-hand circularly polarized (LHCP) antenna, and an intermediate frequency (IF) data collector to test the performance. Three flights were conducted in a bare soil scenario, a sparse apple orchard scenario, and an urban road scenario. A software-defined receiver was used to process the IF signal data to compute the one-dimensional time-delay-dependent power peak positions of the direct and reflected GNSS signals. Based on these peak positions, the path delay measurements between the direct and reflected signals were derived per second based on the BDS B1C and B2a, GPS C/A, and L5 signals. The drone heights were then retrieved. The results showed that the drone height retrieval accuracy could reach approximately 0.5–2 m.

Remote SensingVol. 17(10)
Shandong University (CN), Baoji University of Arts and Sciences (CN), PLA Rocket Force University of Engineering (CN), Weihai Science and Technology Bureau (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 6%
GNSS positioning and interference
4.99
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