• DocumentCode
    2772319
  • Title

    NDA SNR Estimation with Phase Lock Detector for Digital QPSK Receivers

  • Author

    Wang, Hua ; Yan, Chaoxing ; Kuang, Jingming ; Wu, Nan ; Fei, Zesong ; Zheng, Meng

  • Author_Institution
    Dept. of Electron. Eng., Beijing Inst. of Technol., Beijing, China
  • fYear
    2010
  • fDate
    16-19 May 2010
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    In this paper, based on analyzing some existing phase lock detectors for quadratic phase-shift keying (QPSK),we propose a novel method of estimating the signal-to-noise ratio (SNR) operating with the lock metric value of classical Mth-power (M=4) phase lock detector. The proposed lock detector-based SNR estimator can perform better than the conventional SNR estimator in terms of mean estimated value (MEV) at medium to high SNR when phase recovery loop is in-lock status. And its normalized mean squared error (NMSE) can reach Cramer-Rao bounds (CRBs) at that SNR. Moreover, the computational complexity of new estimator operating in phase recovery loop is analyzed with less additional multiplications than that of conventional one. This estimation method can also be applied to other similar phase lock detectors.
  • Keywords
    mean square error methods; quadrature phase shift keying; radio receivers; Cramer-Rao bounds; NDA SNR estimation; digital QPSK receivers; mean estimation value; normalized mean square error; phase lock detector; quadratic phase shift keying; signal-to-noise ratio; Chaotic communication; Computational complexity; Detectors; Phase detection; Phase estimation; Phase locked loops; Phase shift keying; Quadrature phase shift keying; Signal analysis; State estimation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Vehicular Technology Conference (VTC 2010-Spring), 2010 IEEE 71st
  • Conference_Location
    Taipei
  • ISSN
    1550-2252
  • Print_ISBN
    978-1-4244-2518-1
  • Electronic_ISBN
    1550-2252
  • Type

    conf

  • DOI
    10.1109/VETECS.2010.5493907
  • Filename
    5493907