Implementation of an Effective Ionospheric Gradient Detection Technique for GBAS Applications at Low-Latitudes

Ground-Based Augmentation Systems (GBAS) are essential for ensuring the accuracy and integrity of satellite-based navigation for aircraft precision landings. However, severe ionospheric gradients can affect the integrity of GBAS systems. Very limited work has been done on the aspect of ionospheric gradient detection and alert mechanism. This paper focuses on the implementation of a simple approach to detect ionospheric gradients over low-latitude Indian stations, known for severe ionospheric variations. Time-step method is used to calculate the gradients from Slant Total Electron Content (STEC) data. The gradients are computed using 30-second intervals, and an alerting framework is implemented based on three predefined threshold values (Alert Threshold (AT), Recovery Threshold (RT) and Time to Recover (TR)). Results indicate that the threshold combination (AT = 300 mm/km, RT = 100 mm/km, TR = 5 minutes) effectively detects high gradients, triggers alerts when necessary, and maintains them until conditions return to a safe level, while minimizing false alarms. The results obtained are encouraging and will be helpful for effective implementation of GBAS at low-latitude stations.

Authors

Institutions

Publication Details

Published
2025-05-14
DOI
https://doi.org/10.1109/icpcsn65854.2025.11035372
Primary Topic
Ionosphere and magnetosphere dynamics
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Implementation of an Effective Ionospheric Gradient Detection Technique for GBAS Applications at Low-Latitudes

M. Kanaparthi, Supraja Reddy Ammana, Sai Srinath Chembolu, Shreesh Reddy Yeddula et al.
Ionosphere and magnetosphere dynamics
article

Implementation of an Effective Ionospheric Gradient Detection Technique for GBAS Applications at Low-Latitudes

M. Kanaparthi, Supraja Reddy Ammana, Sai Srinath Chembolu, Shreesh Reddy Yeddula, Venkat Ratnam Devanaboyina
article en

Abstract

Ground-Based Augmentation Systems (GBAS) are essential for ensuring the accuracy and integrity of satellite-based navigation for aircraft precision landings. However, severe ionospheric gradients can affect the integrity of GBAS systems. Very limited work has been done on the aspect of ionospheric gradient detection and alert mechanism. This paper focuses on the implementation of a simple approach to detect ionospheric gradients over low-latitude Indian stations, known for severe ionospheric variations. Time-step method is used to calculate the gradients from Slant Total Electron Content (STEC) data. The gradients are computed using 30-second intervals, and an alerting framework is implemented based on three predefined threshold values (Alert Threshold (AT), Recovery Threshold (RT) and Time to Recover (TR)). Results indicate that the threshold combination (AT = 300 mm/km, RT = 100 mm/km, TR = 5 minutes) effectively detects high gradients, triggers alerts when necessary, and maintains them until conditions return to a safe level, while minimizing false alarms. The results obtained are encouraging and will be helpful for effective implementation of GBAS at low-latitude stations.

Chaitanya Bharathi Institute of Technology (IN), Koneru Lakshmaiah Education Foundation (IN)
Climate action
Openalex Percentile: Top 91%
Ionosphere and magnetosphere dynamics
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.

Implementation of an Effective Ionospheric Gradient Detection Technique for GBAS Applications at Low-Latitudes — M. Kanaparthi, Supraja Reddy Ammana, et al. · (2025) | TGRS Research Map | TGRS