TY - JOUR
T1 - Observation data processing methods in SINS/multi-GNSS integrated navigation simulation
AU - Song, Dan
AU - Xu, Chengdong
AU - Zhang, Pengfei
AU - Fan, Guochao
N1 - Publisher Copyright:
© Institution of Mechanical Engineers.
PY - 2016/9/1
Y1 - 2016/9/1
N2 - In this paper, two methods are proposed, namely the unified processing method and the distributed processing method, to process the global navigation satellite system observation data in integrated navigation simulation which uses the strapdown inertial navigation system as the reference system and the multi-global navigation satellite systems as the sub-systems. The unified processing method takes all the global navigation satellite systems as a whole as one sub-system while the distributed processing method takes each global navigation satellite system as one sub-system. The centralized filter and federated filter are utilized respectively to process the global navigation satellite system observation data in the unified processing method and the distributed processing method. The mathematical models of the unified processing method and the distributed processing method are given in detail. Through theoretical derivation and mathematical simulations, the performances of the unified processing method and the distributed processing method are investigated and compared, showing that while they have the same position (velocity) accuracy, the distributed processing method offers better efficiency than the unified processing method especially when the number of global navigation satellite systems is large (>3).
AB - In this paper, two methods are proposed, namely the unified processing method and the distributed processing method, to process the global navigation satellite system observation data in integrated navigation simulation which uses the strapdown inertial navigation system as the reference system and the multi-global navigation satellite systems as the sub-systems. The unified processing method takes all the global navigation satellite systems as a whole as one sub-system while the distributed processing method takes each global navigation satellite system as one sub-system. The centralized filter and federated filter are utilized respectively to process the global navigation satellite system observation data in the unified processing method and the distributed processing method. The mathematical models of the unified processing method and the distributed processing method are given in detail. Through theoretical derivation and mathematical simulations, the performances of the unified processing method and the distributed processing method are investigated and compared, showing that while they have the same position (velocity) accuracy, the distributed processing method offers better efficiency than the unified processing method especially when the number of global navigation satellite systems is large (>3).
KW - Strapdown inertial navigation system/multi-global navigation satellite system integrated navigation
KW - distributed processing method
KW - federated Kalman filter
KW - simulation
KW - unified processing method
UR - http://www.scopus.com/inward/record.url?scp=84982856576&partnerID=8YFLogxK
U2 - 10.1177/0954410016641446
DO - 10.1177/0954410016641446
M3 - Article
AN - SCOPUS:84982856576
SN - 0954-4100
VL - 230
SP - 2104
EP - 2119
JO - Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering
JF - Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering
IS - 11
ER -