Abstract
The problem of target tracking in waveform selection application is considered in this paper. Firstly, we compare the current tracking algorithms and put emphasis on the integral-free ones .Secondly, basic model for waveform selection is constructed and we focus on the common nonlinear problem. By comparing the Unscented Kalman filters, Cubature Kalman filters and Square-root Cubature Kalman filters, an modified SCKF is proposed so as to increase the tracking properties. Two simulations and analysis for tracking is made for testing, and the result shows that modified SCKF performs better in improving estimation accuracy.
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Daobin, Y., Yanhong, W., Weigang, Z. (2013). Research on Tracking Filters Algorithm in Waveform Selection Application. In: Yang, Y., Ma, M., Liu, B. (eds) Information Computing and Applications. ICICA 2013. Communications in Computer and Information Science, vol 392. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-53703-5_40
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DOI: https://doi.org/10.1007/978-3-642-53703-5_40
Publisher Name: Springer, Berlin, Heidelberg
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