Abstract
Multi-model algorithms have proven effective when the target is not cooperative. A hybrid tracker can tailor its kinematic-sensor model to the current conditions of the engagement. Unfortunately, in applications the correct model is seldom known with certainty. Rather, the command architecture must balance a range of possible options based upon the relative likelihoods of the various alternatives. In this chapter, we explore a specific hybrid algorithm, the GWE, and contrast its performance with a single motion model (CV) EKF. The GWE fuses complementary para-measurements with conventional kinematic data to estimate possible engagement regimes, in addition to current target location and velocity.
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References
D.D. Sworder, P.F. Singer, D. Doria, R.G. Hutchins, Image enhanced estimation methods. Proc. IEEE 81(6), 797–814 (1993)
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© 2016 Springer International Publishing Switzerland
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Sworder, D.D., Boyd, J.E. (2016). Tracking an Agile Target. In: Locating, Classifying and Countering Agile Land Vehicles. Springer, Cham. https://doi.org/10.1007/978-3-319-19431-8_3
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DOI: https://doi.org/10.1007/978-3-319-19431-8_3
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-19430-1
Online ISBN: 978-3-319-19431-8
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