• DocumentCode
    1936189
  • Title

    Nonlinear filters for long range radars

  • Author

    Daum, Fred ; Huang, Jim

  • Author_Institution
    Raytheon, Woburn, MA
  • fYear
    2008
  • fDate
    26-30 May 2008
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Accurate estimation of the state vector of ballistic missiles tracked by long range radars is an important and difficult nonlinear filtering problem. In particular, the problem of ldquofalse cross range observabilityrdquo is discussed in, and essentially the same problem is addressed in. The radars of interest are phased arrays with ranges of thousands of kilometers, as described in. As explained in, the measurement error volume of such radars are highly non-Gaussian in Cartesian coordinates, and the degree of non-Gaussianess becomes more severe at longer ranges and with improved range measurement accuracy, owing to pulse compression. This paper was written for normal engineers, who do not have homotopy for breakfast.
  • Keywords
    nonlinear filters; phased array radar; Cartesian coordinates; ballistic missiles; false cross range observability; long range radars; nonlinear filters; phased arrays radars; state vector; Coordinate measuring machines; Filtering; Measurement errors; Missiles; Nonlinear filters; Phased arrays; Radar measurements; Radar tracking; State estimation; Volume measurement; Kalman filter; curse of dimensionality; particle filter;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Radar Conference, 2008. RADAR '08. IEEE
  • Conference_Location
    Rome
  • ISSN
    1097-5659
  • Print_ISBN
    978-1-4244-1538-0
  • Electronic_ISBN
    1097-5659
  • Type

    conf

  • DOI
    10.1109/RADAR.2008.4721108
  • Filename
    4721108