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Wavelet Multi-Resolution Analysis Aided Adaptive Kalman Filter for SINS/GPS Integrated Navigation in Guided Munitions

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Artificial Intelligence and Computational Intelligence (AICI 2011)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 7003))

Abstract

SINS/GPS integrated navigation requires solving a set of nonlinear equations. In this case, the new method based on wavelet multi-resolution analysis (WMRA) aided adaptive Kalman filter (AKF) for SINS / GPS integration for aircraft navigation are proposed to perform better than the classical. The WMRA is used to compare the SINS and GPS position outputs at different resolution levels. These differences represent, in general, the SINS errors, which are used to correct for the SINS outputs during GPS outages. The proposed scheme combines the estimation capability of AKF and the learning capability of WMRA thus resulting in improved adaptive and estimation performance. The simulations show that good results in SINS/GPS positioning accuracy can be obtained by applying the new method based on WMRA and AKF.

This work was supported by China Natural Science Foundation Committee (60775023, 60975025), Natural Science Foundation Committee of Shandong Province of China (Z2005G03), and SRF for ROCS, SEM.

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Author information

Authors and Affiliations

  1. College of Control Science and Engineering, Shandong University, Jinan, 250061, China

    Lei Cai & Faliang Chang

  2. Aviation Ammunition Department, Xu Zhou Air Force College, Xu Zhou, 221000, China

    Fancheng Kong

  3. College of Animal Science, Henan Institute of Science and Technology, Xinxiang, 453003, China

    Xuexia Zhang

  4. Troops 94569, PLA of China, Jinan, 250023, China

    Lei Cai, Fancheng Kong, Faliang Chang & Xuexia Zhang

Authors
  1. Lei Cai
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  2. Fancheng Kong
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  3. Faliang Chang
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  4. Xuexia Zhang
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Editor information

Editors and Affiliations

  1. School of Business Information Technology, RMIT University, City Campus, 124 La Trobe Street, 3000, Melbourne, VIC, Australia

    Hepu Deng

  2. School of Electronics and Information, Tongji University, 201804, Shanghai, China

    Duoqian Miao

  3. School of Computer and Information Engineering, Shanghai University of Electric Power, 200090, Shanghai, China

    Jingsheng Lei

  4. Department of Business Administration, Caritas Institute of Higher Education, 18 Chui Ling Road, Tseung Kwan O, Hong Kong, China

    Fu Lee Wang

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© 2011 Springer-Verlag Berlin Heidelberg

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Cai, L., Kong, F., Chang, F., Zhang, X. (2011). Wavelet Multi-Resolution Analysis Aided Adaptive Kalman Filter for SINS/GPS Integrated Navigation in Guided Munitions. In: Deng, H., Miao, D., Lei, J., Wang, F.L. (eds) Artificial Intelligence and Computational Intelligence. AICI 2011. Lecture Notes in Computer Science(), vol 7003. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23887-1_58

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  • DOI: https://doi.org/10.1007/978-3-642-23887-1_58

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-23886-4

  • Online ISBN: 978-3-642-23887-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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