Abstract
During the course of prediction and estimation to the target in opto-electronic tracking system, stochastic noises statistical character affects the precision badly. To solve this problem, set-membership estimation is introduced to the target prediction in this paper. Considering the non-linear feature of opto-electronic tracking system, the paper analyzes extend optimal bounding ellipsoid (EOBE). Result of simulation shows that, compared with extend kalman filter (EKF), the prediction precision of EOBE is almost as good as that of EKF. Especially when the noise is bounded but not white and Gaussian, EOBE has better robustness.
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© 2012 Springer-Verlag Berlin Heidelberg
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Lv, J., Guo, N., Yu, J. (2012). Prediction and Estimation to the Target in Opto-electronic Tracking System Based on Set Membership Estimation. In: Jin, D., Lin, S. (eds) Advances in Electronic Engineering, Communication and Management Vol.1. Lecture Notes in Electrical Engineering, vol 139. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27287-5_64
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DOI: https://doi.org/10.1007/978-3-642-27287-5_64
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