Study of DR/GPS Integrated Navigation on Nonlinear Adaptive Data Fusion Algorithm

Meng Long Cao; Shu Mei Yao

doi:10.4028/www.scientific.net/AMR.823.317

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HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 823Study of DR/GPS Integrated Navigation on Nonlinear...

Study of DR/GPS Integrated Navigation on Nonlinear Adaptive Data Fusion Algorithm

Abstract:

Aiming at collecting data fusion problem for the actual project integrated navigation system,this thesis propounds the system measured mathematics models and proposes adaptive information fusion algorithm based on nonlinear system. The proposed method considers system unmodelled part and high order item as the noise item and the state vector to coupled estimated,thus the sensitivity of the algorithm to the model is improved. The effect of the improved algorithm is tested by the simulation in the environment of Matlab. The experimental results demonstrate that this algorithm can improve the accuracy of the integrated navigation system, thus has the value of practice application.

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Periodical:

Advanced Materials Research (Volume 823)

Pages:

317-320

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.823.317

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Online since:

October 2013

Authors:

Meng Long Cao, Shu Mei Yao

Keywords:

Adaptive, Data Fusion, DR/GPS Integrated Navigation, Nonlinear

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