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.
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Liu, K., Yan, M., Yuan, F.: Maneuver Detecting Algorithm Used for Bearings-only Maneuver Target Tracking. Command Control And Simulation 28, 30–34 (2006)
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)
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)
Li, H., Wan, B.: An Efficient Learning Algorithm For Large-Scale Feedforward Neural Networks And Its Application. Information and Control 32, 403–406 (2003)
Cao, Q., Zhou, J.: The Application of MATLAB in Design of Neural Networks. Journal of East China Jiaotong University 21, 86–88 (2004)
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© 2009 Springer-Verlag Berlin Heidelberg
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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
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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
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