• DocumentCode
    1644032
  • Title

    The Algorithm for Deep-Space Weak Signal Tracking Using a Modified Kalman Filter

  • Author

    Wang, Aihua ; Dong, Wenchao ; Shen, Yebing

  • Author_Institution
    Dept. of Electron. Eng., Beijing Inst. of Technol., Beijing, China
  • fYear
    2011
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    In Deep-space TT&C and communication, the received signal is very weak, so the traditional Kalman Filter is hard to track the signal accurately. In this paper, a modified Kaman Filter using least squares (LS) method is presented to address this issue. This method is good at tracking amplitude, phase, frequency and its time derivatives of frequency (the signal with low carrier acquisition threshold and high dynamic). Computer simulation shows that the lower carrier power -157dBm can be achieved with this method.
  • Keywords
    Kalman filters; least squares approximations; target tracking; amplitude tracking; deep-space TT&C; deep-space weak signal tracking; frequency tracking; least squares method; low carrier acquisition threshold; modified Kalman filter; phase tracking; Equations; Estimation; Frequency estimation; Kalman filters; Mathematical model; Time frequency analysis; Time measurement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wireless Communications, Networking and Mobile Computing (WiCOM), 2011 7th International Conference on
  • Conference_Location
    Wuhan
  • ISSN
    2161-9646
  • Print_ISBN
    978-1-4244-6250-6
  • Type

    conf

  • DOI
    10.1109/wicom.2011.6040123
  • Filename
    6040123