• DocumentCode
    58847
  • Title

    Classification of free rigid targets with micro-motions using inertial characteristic from radar signatures

  • Author

    Peng Lei ; Jun Wang ; Jinping Sun

  • Author_Institution
    Sch. of Electron. & Inf. Eng., Beijing Univ. of Aeronaut. & Astronaut., Beijing, China
  • Volume
    50
  • Issue
    13
  • fYear
    2014
  • fDate
    June 19 2014
  • Firstpage
    950
  • Lastpage
    952
  • Abstract
    The potential of an object´s inertial characteristic is studied for the purpose of classification of free rigid targets in radar. Through the estimation of micro-motion parameters from micro-Doppler signals, the inertial characteristic can be further obtained. It is an intrinsic property of the targets themselves, and essentially independent of their diverse micro-motion states. Then a simple Bayesian classifier is adopted to make the target discrimination. Numerical results and analysis finally show that the inertia-based feature performs better than classic time-frequency and micro-dynamic characteristics in the classification application.
  • Keywords
    Bayes methods; radar signal processing; signal classification; time-frequency analysis; classic time-frequency characteristics; classification application; diverse micromotion states; free rigid target classification; inertia-based feature; inertial characteristic; microDoppler signals; microdynamic characteristics; micromotion parameters; radar signatures; simple Bayesian classifier; target discrimination;
  • fLanguage
    English
  • Journal_Title
    Electronics Letters
  • Publisher
    iet
  • ISSN
    0013-5194
  • Type

    jour

  • DOI
    10.1049/el.2014.1091
  • Filename
    6838851