Research on a Novel Federated Least Square Filter Based on Integrated Navigation

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With the fast development of aviation industry, integrated navigation techniques must be improved quickly along with it. In order to overcome the limitation of classical Kalman filtering algorithm in multi-sensor information fusion, the regression memory factor is introduced while the statistic characteristic of the system noise and measurement noise are uncertain. Firstly, a novel federated least square filtering algorithm based on integrated navigation is offered, and this filtering algorithm’s practical criterion is deducted. Then, a simulation flat of integrated navigation system is set up, and the simulation is conducted. Finally, through the contrast between this filter and the classical federated filter, the adaptability and accuracy of this algorithm is approved.

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Periodical:

Edited by:

Mohamed Othman

Pages:

1239-1243

Citation:

H. P. Liu et al., "Research on a Novel Federated Least Square Filter Based on Integrated Navigation", Applied Mechanics and Materials, Vols. 229-231, pp. 1239-1243, 2012

Online since:

November 2012

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$38.00

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