Skip to main content

Neural Network Algorithm for Installation Error Identification Based on Bearing-only Target Motion Analyses

  • Conference paper
Advances in Neural Networks – ISNN 2009 (ISNN 2009)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 5551))

Included in the following conference series:

  • 1537 Accesses

Abstract

It is quite strict with the degree of installation precision of photo-electricity device (PED) carried by unmanned aerial vehicle (UAV) when conducting bearing-only target motion analyses (BTMA), because of the existence of the installation error of PED, the precision of target location is bound to be affected. In order to solve this problem mentioned above, a neural network algorithm for installation error identification based on BTMA is put forward in this paper, consulting the target surveillance technology of PED to identify the installation error thought neural network algorithm, which is worthy to be put into practical applications.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Similar content being viewed by others

References

  1. Liu, K., Yan, M., Yuan, F.: Maneuver Detecting Algorithm Used for Bearings-only Maneuver Target Tracking. Command Control And Simulation 28, 30–34 (2006)

    Google Scholar 

  2. Dong, Z.: Nonlinear Least-Square Algorithms Used for TMA in Bearing-only System-The Engineering Mathematic Model and Algorithms. Information Command Control System And Simulation Technology 27, 4–7 (2005)

    Google Scholar 

  3. Jin, X.: Study on New Algorithm for Feed-forward Neural Network and its Simulation. Journal of Harbin University of Commerce Natural Sciences Edition 20, 24–27 (2004)

    Google Scholar 

  4. Li, H., Wan, B.: An Efficient Learning Algorithm For Large-Scale Feedforward Neural Networks And Its Application. Information and Control 32, 403–406 (2003)

    Google Scholar 

  5. Cao, Q., Zhou, J.: The Application of MATLAB in Design of Neural Networks. Journal of East China Jiaotong University 21, 86–88 (2004)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2009 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Wen, L., Liu, Z., Luo, Ys., Fu, Xz. (2009). Neural Network Algorithm for Installation Error Identification Based on Bearing-only Target Motion Analyses. In: Yu, W., He, H., Zhang, N. (eds) Advances in Neural Networks – ISNN 2009. ISNN 2009. Lecture Notes in Computer Science, vol 5551. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-01507-6_101

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-01507-6_101

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-01506-9

  • Online ISBN: 978-3-642-01507-6

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics