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Erschienen in: Cluster Computing 6/2019

26.03.2018

Analysis and design of an attitude calculation algorithm based on elman neural network for SINS

verfasst von: Chengjun Guo, Jiahan Yan, Zhong Tian

Erschienen in: Cluster Computing | Sonderheft 6/2019

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Abstract

In view of the shortcomings of strapdown inertial measurement unit (IMU) such as large noise and error accumulation, poor precision of traditional attitude calculation algorithms and poor adaptability to environment, this paper proposes an attitude calculation algorithm aided by Elman neural network. For multi-sensor information fusion, not every neural network is applicable, but the Elman neural network structure contains a receiving layer, which stores the information of the previous hidden layer, this structural feature enables the Elman neural network to predict in continuous signal. The simulation results show the effectiveness of the algorithm and improve the accuracy and adaptability of the algorithm.

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Metadaten
Titel
Analysis and design of an attitude calculation algorithm based on elman neural network for SINS
verfasst von
Chengjun Guo
Jiahan Yan
Zhong Tian
Publikationsdatum
26.03.2018
Verlag
Springer US
Erschienen in
Cluster Computing / Ausgabe Sonderheft 6/2019
Print ISSN: 1386-7857
Elektronische ISSN: 1573-7543
DOI
https://doi.org/10.1007/s10586-018-2562-8

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