• DocumentCode
    2384778
  • Title

    Joint power estimation and modulation classification using second- and higher statistics

  • Author

    Dai, Wei ; Wang, Youzheng ; Wang, Jing

  • Author_Institution
    Dept. of Electron. Eng., Tsinghua Univ., Beijing, China
  • Volume
    1
  • fYear
    2002
  • fDate
    17-21 Mar 2002
  • Firstpage
    155
  • Abstract
    Previously developed techniques for modulation classification have assumed that both the signal and noise power are known. However, the signal or noise power estimations require that modulation type is known. To solve the problem, this paper introduces a method for joint power estimation and modulation classification (JPEMC), whose key point is employing the relationships between the second- and higher moments of received signal and signal and noise power. Simulation results demonstrate the efficiency of modulation classification of JPEMC and indicate that the power estimation can be used by later demodulators.
  • Keywords
    higher order statistics; mobile radio; modulation; parameter estimation; JPEMC; demodulators; higher order statistics; joint power estimation and modulation classification; mobile radio; second order statistics; signal estimation; AWGN; Additive white noise; Demodulation; Equations; Gaussian noise; Personal communication networks; Power engineering and energy; Signal processing; Statistics; Wireless LAN;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wireless Communications and Networking Conference, 2002. WCNC2002. 2002 IEEE
  • Print_ISBN
    0-7803-7376-6
  • Type

    conf

  • DOI
    10.1109/WCNC.2002.993481
  • Filename
    993481