TY - JOUR
T1 - Implementation and analysis of fault grouping for multi-constellation advanced RAIM
AU - Wang, Shizhuang
AU - Zhai, Yawei
AU - Chi, Cheng
AU - Zhan, Xingqun
AU - Jiang, Yiping
N1 - Funding Information:
The authors would like to thank Dr. Mathieu Joerger and Dr. Boris Pervan for their valuable suggestions and comments in the development of the algorithm. This work is supported by the Key Technologies Research and Development Program (2021YFB3901501) and the National Natural Science Foundation of China (62103274).
Publisher Copyright:
© 2023 COSPAR
PY - 2023/6/1
Y1 - 2023/6/1
N2 - The aviation community is pursuing multi-constellation Advanced Receiver Autonomous Integrity Monitoring (ARAIM) to offer safe aircraft navigation services. The computational issue of ARAIM becomes critical when multiple constellations are involved and Fault Exclusion (FE) is enabled. This paper proposes an implementation of fault grouping to improve the efficiency of multi-constellation ARAIM and to benefit navigation performance. To potentially accommodate most ARAIM services, we consider both ARAIM Fault Detection (FD) and ARAIM Fault Detection and Exclusion (FDE) scenarios. In addition, given the difference between Vertical ARAIM (V-ARAIM) and Horizontal ARAIM (H-ARAIM), the implementation steps of fault grouping for V-ARAIM and H-ARAIM are respectively described. More importantly, unlike most of the prior approaches that were limited to dual-constellation scenarios, our implementation can support up to four constellations. The implementation of fault grouping is evaluated using multiple sets of simulations, which are carried out as a function of the number of constellations, prior fault probabilities, error models, and operational services. The results suggest that in most cases, the proposed implementation of fault grouping can effectively reduce the ARAIM computational load while benefiting or maintaining the navigation performance.
AB - The aviation community is pursuing multi-constellation Advanced Receiver Autonomous Integrity Monitoring (ARAIM) to offer safe aircraft navigation services. The computational issue of ARAIM becomes critical when multiple constellations are involved and Fault Exclusion (FE) is enabled. This paper proposes an implementation of fault grouping to improve the efficiency of multi-constellation ARAIM and to benefit navigation performance. To potentially accommodate most ARAIM services, we consider both ARAIM Fault Detection (FD) and ARAIM Fault Detection and Exclusion (FDE) scenarios. In addition, given the difference between Vertical ARAIM (V-ARAIM) and Horizontal ARAIM (H-ARAIM), the implementation steps of fault grouping for V-ARAIM and H-ARAIM are respectively described. More importantly, unlike most of the prior approaches that were limited to dual-constellation scenarios, our implementation can support up to four constellations. The implementation of fault grouping is evaluated using multiple sets of simulations, which are carried out as a function of the number of constellations, prior fault probabilities, error models, and operational services. The results suggest that in most cases, the proposed implementation of fault grouping can effectively reduce the ARAIM computational load while benefiting or maintaining the navigation performance.
KW - Advanced Receiver Autonomous Integrity Monitoring (ARAIM)
KW - Continuity
KW - Fault Detection and Exclusion (FDE)
KW - Global Navigation Satellite Systems (GNSS)
KW - Integrity
UR - http://www.scopus.com/inward/record.url?scp=85150346947&partnerID=8YFLogxK
U2 - 10.1016/j.asr.2023.01.020
DO - 10.1016/j.asr.2023.01.020
M3 - Journal article
AN - SCOPUS:85150346947
SN - 0273-1177
VL - 71
SP - 4765
EP - 4786
JO - Advances in Space Research
JF - Advances in Space Research
IS - 11
ER -