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Random-Point-Based Filters: Analysis and Comparison in Target Tracking

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F15%3A43925656" target="_blank" >RIV/49777513:23520/15:43925656 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.1109/TAES.2014.130136" target="_blank" >http://dx.doi.org/10.1109/TAES.2014.130136</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/TAES.2014.130136" target="_blank" >10.1109/TAES.2014.130136</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Random-Point-Based Filters: Analysis and Comparison in Target Tracking

  • Original language description

    This paper compares state estimation techniques for nonlinear stochastic dynamic systems, which are important for target tracking. Recently, several methods for nonlinear state estimation have appeared utilizing various random-point-based approximationsfor global filters (e.g., particle filter and ensemble Kalman filter) and local filters (e.g., Monte-Carlo Kalman filter and stochastic integration filters). A special emphasis is placed on derivations, algorithms, and commonalities of these filters. Allfilters described are put into a common framework, and it is proved that within a single iteration, they provide asymptotically equivalent results. Additionally, some deterministic-point-based filters (e.g., unscented Kalman filter, cubature Kalman filter, and quadrature Kalman filter) are shown to be special cases of a random-point-based filter. The paper demonstrates and compares the filters in three examples, a random variable transformation, re-entry vehicle tracking, and bearings-o

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

  • CEP classification

    BC - Theory and management systems

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/GC13-07058J" target="_blank" >GC13-07058J: Consistent Fusion in Networked Estimation Systems</a><br>

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2015

  • 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 Aerospace and Electronic Systems

  • ISSN

    0018-9251

  • e-ISSN

  • Volume of the periodical

    51

  • Issue of the periodical within the volume

    2

  • Country of publishing house

    US - UNITED STATES

  • Number of pages

    19

  • Pages from-to

    1403-1421

  • UT code for WoS article

    000356969500049

  • EID of the result in the Scopus database