• DocumentCode
    3862962
  • Title

    Modified communication emitter recognition method based on D-S theory

  • Author

    Yuan Su-Xin;Lu Shu-Jun;Wang Shi-Lian;Zhang Wei

  • Author_Institution
    National University of Defense Technology, School of Electronic Science and Engineering, Changsha, China
  • fYear
    2015
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Aiming at the defects of the common communication emitter recognition method, that the targets can´t be recognized in the condition of low SNR, a modified communication emitter recognition method based on evidence reasoning theory is proposed. Characteristic selection and database reconstruction is applied to solve the problem of indistinct input, and the D-S algorithm of weighted averaging is applied to make inferences about signal characteristics in all levels which can avoid inefficient of data fusion. The simulation results confirm that the new method based on modified D-S theory can observably improve the performance of recognizing communication emitter for low SNR.
  • Keywords
    "Databases","Target recognition","Cognition","Data integration","Signal to noise ratio","Character recognition","Sensors"
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing, Communications and Computing (ICSPCC), 2015 IEEE International Conference on
  • Print_ISBN
    978-1-4799-8918-8
  • Type

    conf

  • DOI
    10.1109/ICSPCC.2015.7338953
  • Filename
    7338953