An Inclination Estimation Method for UAV Landing Surfaces Using Millimeterwave Radar
- Resource Type
- Conference
- Authors
- Iizuka, Tatsuya; Sasatani, Takuya; Nakamura, Toru; Kosaka, Naoko; Hisada, Masaki; Kawahara, Yoshihiro
- Source
- IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium Geoscience and Remote Sensing Symposium, IGARSS 2023 - 2023 IEEE International. :2049-2052 Jul, 2023
- Subject
- Aerospace
Components, Circuits, Devices and Systems
Fields, Waves and Electromagnetics
Geoscience
Signal Processing and Analysis
Three-dimensional displays
Surface waves
MIMO radar
Estimation
Geoscience and remote sensing
Millimeter wave radar
Autonomous aerial vehicles
millimeter wave radar
UAV
corner reflector
- Language
- ISSN
- 2153-7003
This paper investigates a novel millimeter wave (mmWave) radar-based inclination estimation to enhance the landing capabilities of unmanned aerial vehicles (UAVs) in poor visibility conditions. Unlike SAR based approaches, this method facilitates one-shot estimation by using known reflector patterns on landing surfaces. As a first step, we evaluate the performance of the estimation with obtained distance information, assuming that the coordinates of the UAV and port are known. The experimental results demonstrate that mmWave radar with centimeter-ordered resolution can estimate the inclination of less than 5° errors.