• DocumentCode
    3149916
  • Title

    Variable forgetting factor recursive least square algorithm applied to multi-station passive location

  • Author

    Xuhong, Fu ; Lijuan, Yan

  • Author_Institution
    Sch. of Electron. & Inf. Eng., Xi´´an Jiaotong Univ., Xi´´an, China
  • fYear
    2011
  • fDate
    16-18 April 2011
  • Firstpage
    4612
  • Lastpage
    4615
  • Abstract
    Study on the technology of direction finding (DF) and localization technology is of vital significance nowadays. For real target, the direction parameter becomes one of the most reliable radiation parameters. This paper proposed a new method of multi-station passive location, which is based on the variable forgetting factor recursive least square algorithm. First, establish the mathematical model of the algorithm for multi-station positioning; secondly, show the mathematical derivation of the algorithm and iteration formula; and then the implementation steps of the algorithm are proposed; finally the simulation comparison with least squares algorithm is discussed. The simulation results demonstrate that, when each measurement error meets with mean 0 and the same variance, this algorithm performs better no matter how the variances of measurement errors are chosen. Moreover, it is much more simplified compared to the least squares in the amount of calculation.
  • Keywords
    least squares approximations; measurement errors; position control; radio direction-finding; direction finding localization technology; direction parameter; measurement errors; multistation passive location; multistation positioning; radiation parameters; recursive least square algorithm; variable forgetting factor; Accuracy; Azimuth; Least squares methods; Measurement errors; Navigation; Signal processing; Simulation; direction finding; multi-station passive location; variable forgetting factor recursive least squares;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Consumer Electronics, Communications and Networks (CECNet), 2011 International Conference on
  • Conference_Location
    XianNing
  • Print_ISBN
    978-1-61284-458-9
  • Type

    conf

  • DOI
    10.1109/CECNET.2011.5768313
  • Filename
    5768313