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The nonsequential fusion method for localization from unscented Kalman filter by multistation array buoys

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Publication:1726053
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DOI10.1155/2016/7670609zbMath1417.62268OpenAlexW2341601335WikidataQ59123646 ScholiaQ59123646MaRDI QIDQ1726053

Gou Yanni, Wang Qi

Publication date: 19 February 2019

Published in: Discrete Dynamics in Nature and Society (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2016/7670609



Mathematics Subject Classification ID

Inference from stochastic processes and prediction (62M20)


Related Items (1)

An improved unscented Kalman filter for discrete nonlinear systems with random parameters



Cites Work

  • Continuous-time and continuous-discrete-time unscented Rauch-Tung-Striebel smoothers
  • Optimality analysis of one-step OOSM filtering algorithms in target tracking
  • Optimal Centralized Update With Multiple Local Out-of-Sequence Measurements
  • Unscented Rauch--Tung--Striebel Smoother
  • Optimal update with out-of-sequence measurements


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