XAI GNSS—A Comprehensive Study on Signal Quality Assessment of GNSS Disruptions Using Explainable AI Technique
The hindering of Global Navigation Satellite Systems (GNSS) signal reception by jamming and spoofing attacks degrades the signal quality. Careful attention needs to be paid when post-processing the signal under these circumstances before feeding the signal into the GNSS receiver’s post-processing st...
Saved in:
| Main Authors: | Arul Elango, Rene Jr. Landry |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2024-12-01
|
| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/24/24/8039 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
GNSS Anti-Interference Technologies for Unmanned Systems: A Brief Review
by: Pengfei Jiang, et al.
Published: (2025-05-01) -
Impact Analysis of Orthogonal Circular-Polarized Interference on GNSS Spatial Anti-Jamming Array
by: Ke Zhang, et al.
Published: (2024-12-01) -
Explainable AI in medicine: challenges of integrating XAI into the future clinical routine
by: Tim Räz, et al.
Published: (2025-08-01) -
Efficiency of the Miniature Anti-jam GNSS Antenna Array
by: A. V. Nemov, et al.
Published: (2018-04-01) -
A GNSS Anti-jamming Technology of UAV for Geological Hazard Monitoring
by: ZHANG Yonggang, et al.
Published: (2024-06-01)