The Application of Federated Kalman Filtering in SINS/GPS/CNS Intergrated Navigation System | Zendy

Hong Deng | Zendy; Guang bin LIU | Zendy; Haoming Chen | Zendy; Chunlin Deng | Zendy

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The Application of Federated Kalman Filtering in SINS/GPS/CNS Intergrated Navigation System

Author(s) -

Hong Deng,

Guang bin LIU,

Haoming Chen,

Chunlin Deng

Publication year - 2012

Publication title -

international journal of wireless and microwave technologies

Language(s) - English

Resource type - Journals

eISSN - 2076-9539

pISSN - 2076-1449

DOI - 10.5815/ijwmt.2012.02.03

Subject(s) - global positioning system , kalman filter , computer science , inertial navigation system , navigation system , filter (signal processing) , scheme (mathematics) , control theory (sociology) , position (finance) , ballistic missile , real time computing , missile , engineering , artificial intelligence , mathematics , computer vision , telecommunications , aerospace engineering , orientation (vector space) , mathematical analysis , geometry , control (management) , finance , economics

Federated filter was an important method to estimate high-precision navigation parameters based on “SINS/GPS/CNS”. A no-feedback federated filter with UD_UKF algorithm was designed in the paper, a threetime amendment scheme to correct navigation parameters was designed at the same time and the mathematical model of SINS/GPS/CNS was established in launch inertial coordinate system too. The paper discussed the simulation conditions and a lot of simulations were carried out to compare 2 aspects: (1)the performance between four navigation mode, which respectively is SINS, SINS/GPS, SINS/CNS, SINS/GPS/CNS;(2)the estimate precision of federated filter and that of centralized Kalman filter. The results of simulation showed that the designed federated filter and amendment scheme based on SINS/GPS/CNS had high estimate precision and led to gain high hitting precision of ballistic missile, that is to say position errors were less than 20 meter and velocity errors were less than 0.1m/s in simulation

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