A Subset-Reduced Method for FDE ARAIM of Tightly-Coupled GNSS/INS.

Area of Science:

• Aerospace Engineering
• Navigation Systems
• Signal Processing

Background:

• Advanced Receiver Autonomous Integrity Monitoring (ARAIM) is crucial for civil aviation navigation.
• Current ARAIM methods face high computational demands due to extensive subset evaluation.

Purpose of the Study:

• To develop a computationally efficient ARAIM algorithm for Global Navigation Satellite System (GNSS) and Inertial Navigation System (INS) integration.
• To reduce the number of subsets evaluated in ARAIM while maintaining integrity.

Main Methods:

• A novel ARAIM algorithm integrating GNSS and INS.
• A subset exclusion method to evaluate single and multiple satellite fault subsets.
• Detailed fault detection (FD) and fault exclusion (FE) processes.

Main Results:

• The proposed GNSS/INS ARAIM algorithm reduces the number of subsets to consider by approximately 98%.
• Accurate identification of failing satellites.
• Integrity performance meets CAT-I precision approach requirements.

Conclusions:

• The presented GNSS/INS ARAIM offers a dramatic reduction in computational load.
• The algorithm accurately detects and excludes faulty satellites.
• The system provides reliable integrity for precision approaches.