• DocumentCode
    757428
  • Title

    Pulse coding techniques for ST/MST radar systems: a general approach based on a matrix formulation

  • Author

    Spano, Eric ; Ghebrebrhan, O.

  • Author_Institution
    Lab. de Sondages Electromagnetiques de l´´Environnement Terrestre, Toulon Univ., La Garde, France
  • Volume
    34
  • Issue
    2
  • fYear
    1996
  • fDate
    3/1/1996 12:00:00 AM
  • Firstpage
    304
  • Lastpage
    316
  • Abstract
    An approach based on matrix formulation used for the representation and analysis of the signals and processes in ST/MST radar systems using a series of polyphase code sequences is presented. Expressions of the appropriate signals at various stages of the transmitting/receiving and processing channels of the system are given, using mostly matrix formulation, which has the advantage, among other things, of compactness. The expressions of the powers of the various components of the received signal, including the geophysical signal and interference signals, are obtained in order to derive expressions for performance parameters such as those related to the degradation of signal-to-noise ratio in the truncated ranges and interference suppression. Analysis tools for obtaining optimum solutions to the full decoding of truncated ranges, interference suppression, and reduction of sidelobes resulting from atmospheric characteristics are developed
  • Keywords
    atmospheric techniques; geophysical signal processing; mesosphere; meteorological radar; pulse code modulation; pulse compression; radar applications; radar signal processing; radar theory; remote sensing by radar; stratosphere; troposphere; MST radar; ST radar; ST/MST radar; interference suppression; lower atmosphere; matrix formulation; measurement technique; mesosphere; meteorology; middle atmosphere; polyphase code sequence; pulse coding; radar remote sensing; radar signal processing; range resolution enhancement; sidelobe reduction; stratosphere; troposphere; Decoding; Degradation; Doppler shift; Interference suppression; Radar signal processing; Signal analysis; Signal processing; Signal to noise ratio; Terrestrial atmosphere; Transmitters;
  • fLanguage
    English
  • Journal_Title
    Geoscience and Remote Sensing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0196-2892
  • Type

    jour

  • DOI
    10.1109/36.485109
  • Filename
    485109