Intelligent 5G-Aided UAV Positioning in High-Density Environments Using Neural Networks for NLOS Mitigation
The accurate and reliable positioning of unmanned aerial vehicles (UAVs) in urban environments is crucial for urban air mobility (UAM) application, such as logistics, surveillance, and disaster management. However, global navigation satellite systems (GNSSs) often fail in densely populated areas due...
Saved in:
| Main Authors: | Morad Mousa, Saba Al-Rubaye |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-06-01
|
| Series: | Aerospace |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2226-4310/12/6/543 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Research on localization scheme of UWB in NLOS environment
by: XIAO Zhu1, et al.
Published: (2008-01-01) -
Accurate Multiclass NLOS Channels Identification in UWB Indoor Positioning System-Based Deep Neural Network
by: Ammar Fahem Majeed, et al.
Published: (2024-01-01) -
An improved NLOS error mitigation algorithm for 5G positioning in complex urban environments
by: Song Bao, et al.
Published: (2025-05-01) -
Neurodynamic robust adaptive UWB localization algorithm with NLOS mitigation
by: Yanxu Liu, et al.
Published: (2025-04-01) -
Implementation and Evaluation of a Mobile Indoor Positioning System Using the Frequency Switching Model
by: Youssef Ibnatta, et al.
Published: (2024-01-01)