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DOA Estimation with Different NLA Configurations

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60162694%3AG43__%2F17%3A00534171" target="_blank" >RIV/60162694:G43__/17:00534171 - isvavai.cz</a>

  • Result on the web

    <a href="http://ieeexplore.ieee.org/document/8008203/" target="_blank" >http://ieeexplore.ieee.org/document/8008203/</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.23919/IRS.2017.8008203" target="_blank" >10.23919/IRS.2017.8008203</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    DOA Estimation with Different NLA Configurations

  • Original language description

    This paper presents a study of MUSIC algorithm for a nonuniform linear array (NLA) with different configurations. In the case of the same number of sensors, the element spacing of each configuration is selected according to the condition of the Chinese surplus theorem. In the simulation, we provide simulations of three typical NLA configurations for the different aperture of the array in comparison with uniform linear array (ULA) configuration. The first is a comparison between three NLA configurations and ULA in the case of one incoming signal. The second are simulations for the case of two incoming signals. We also show that MUSIC algorithm presents better performance in increasing aperture of the array. In the practical measurement, 4-element NLA was used to verify with one of three NLA configurations in the case of one incoming signal.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    20201 - Electrical and electronic engineering

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2017

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    The 18th International Radar Symposium IRS 2017

  • ISBN

    978-373699343-3

  • ISSN

    2155-5745

  • e-ISSN

    2155-5753

  • Number of pages

    8

  • Pages from-to

    1-8

  • Publisher name

    IEEE Computer Society

  • Place of publication

    New York, USA

  • Event location

    Prague, Czech Republic

  • Event date

    Jun 28, 2017

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000426862700121