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Design of Rao-Blackwellized Point-Mass Smoother for Conditionally Linear and Gaussian Models

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F19%3A43956257" target="_blank" >RIV/49777513:23520/19:43956257 - isvavai.cz</a>

  • Result on the web

    <a href="https://dx.doi.org/10.1109/TSP.2019.2949506" target="_blank" >https://dx.doi.org/10.1109/TSP.2019.2949506</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/TSP.2019.2949506" target="_blank" >10.1109/TSP.2019.2949506</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Design of Rao-Blackwellized Point-Mass Smoother for Conditionally Linear and Gaussian Models

  • Original language description

    This paper deals with the state estimation of nonlinear stochastic dynamic systems. Stress is laid on the numerical solution to the functional recursive relations providing conditional probability density functions of the state. In particular, a novel Rao-Blackwellized point-mass smoother with two implementations is proposed for conditionally linear and Gaussian state-space models, where part of the state vector is estimated by a computationally expensive point-mass smoother, whereas the remaining part of the state vector by a set of computationally efficient linear smoothers. Such decomposition results in a computationally less demanding smoother than the standard point-mass smoother for the considered models. The properties of the proposed smoother are discussed and its performance is numerically illustrated.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    20205 - Automation and control systems

Result continuities

  • Project

    <a href="/en/project/LO1506" target="_blank" >LO1506: Sustainability support of the centre NTIS - New Technologies for the Information Society</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2019

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    IEEE Transactions on Signal Processing

  • ISSN

    1053-587X

  • e-ISSN

  • Volume of the periodical

    67

  • Issue of the periodical within the volume

    23

  • Country of publishing house

    US - UNITED STATES

  • Number of pages

    14

  • Pages from-to

    6053-6066

  • UT code for WoS article

    000499985600002

  • EID of the result in the Scopus database

    2-s2.0-85075644300