All

What are you looking for?

All
Projects
Results
Organizations

Quick search

  • Projects supported by TA ČR
  • Excellent projects
  • Projects with the highest public support
  • Current projects

Smart search

  • That is how I find a specific +word
  • That is how I leave the -word out of the results
  • “That is how I can find the whole phrase”

State and Measurement Noise in Positioning and Tracking: Covariance Matrices Estimation and Gaussianity Assessment

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F18%3A43952490" target="_blank" >RIV/49777513:23520/18:43952490 - isvavai.cz</a>

  • Result on the web

    <a href="https://doi.org/10.1109/PLANS.2018.8373523" target="_blank" >https://doi.org/10.1109/PLANS.2018.8373523</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/PLANS.2018.8373523" target="_blank" >10.1109/PLANS.2018.8373523</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    State and Measurement Noise in Positioning and Tracking: Covariance Matrices Estimation and Gaussianity Assessment

  • Original language description

    The paper presents the Noise covariance matrices Estimation with Gaussianity Assessment (NEGA) method that describes the noise characteristics of a linear time-varying statespace model. In particular, the motivation is placed on the state covariance matrices noise estimates combined with assessment of whether measurements noises are Gaussian or not. The proposed NEGA method, which belongs into the group of the correlation methods, provides unbiased and consistent noise covariance matrices estimate and hypothesis testing based decisions regarding the noises Gaussianity. Simultaneously conducting estimate and assessment is essential for an optimal design of any reliable and integrity-assured positioning and tracking algorithm. The proposed method applicability is extended for the nonlinear systems and thoroughly illustrated in numerical examples of both a nonlinear tracking example and a global navigation satellite system (GNSS) based positioning.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    20205 - Automation and control systems

Result continuities

  • Project

    <a href="/en/project/GC16-19999J" target="_blank" >GC16-19999J: Cooperative Approaches to Design of Nonlinear Filters</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2018

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Proceedings of the 2018 IEEE/ION Position, Location and Navigation Symposium (PLANS)

  • ISBN

    978-1-5386-1647-5

  • ISSN

    2153-358X

  • e-ISSN

    2153-3598

  • Number of pages

    10

  • Pages from-to

    1326-1335

  • Publisher name

    IEEE

  • Place of publication

    Monterey, USA

  • Event location

    Monterey, USA

  • Event date

    Apr 23, 2018

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000435257800168