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Nonlinear Filter

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Non-Cooperative Target Tracking, Fusion and Control

Part of the book series: Information Fusion and Data Science ((IFDS))

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Abstract

The aim of filters is to get accurate estimates of the useful signal from the signal with noises. Based on the measurement of the observable signal of the system and using some statistical optimal method, the theory of filtering can be treated as the theory and method of estimating the state of the system according to certain filtering criteria.

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Authors and Affiliations

  1. School of Aeronautics and Astronautics, Shanghai Jiao Tong University, Shanghai, China

    Zhongliang Jing & Han Pan

  2. University of Electronic Science and Technology of China, Chengdu, Sichuan, China

    Yuankai Li

  3. School of Aeronautics and Astronautics, Shanghai Jiao Tong University, Shanghai, Shanghai, China

    Peng Dong

Authors
  1. Zhongliang Jing
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  2. Han Pan
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  3. Yuankai Li
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  4. Peng Dong
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Jing, Z., Pan, H., Li, Y., Dong, P. (2018). Nonlinear Filter. In: Non-Cooperative Target Tracking, Fusion and Control. Information Fusion and Data Science. Springer, Cham. https://doi.org/10.1007/978-3-319-90716-1_2

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  • DOI: https://doi.org/10.1007/978-3-319-90716-1_2

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-90715-4

  • Online ISBN: 978-3-319-90716-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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