• DocumentCode
    1472768
  • Title

    Block floating point for radar data

  • Author

    Christensen, E.Lintz

  • Author_Institution
    Dept. of Electromagn. Syst., Tech. Univ., Lyngby, Denmark
  • Volume
    35
  • Issue
    1
  • fYear
    1999
  • fDate
    1/1/1999 12:00:00 AM
  • Firstpage
    308
  • Lastpage
    318
  • Abstract
    Integer, floating point, and block floating point (BFP) data formats are analyzed and compared in order to establish the mathematical tools for selection of an optimal format which fulfils the demands of high resolution radar (SAR) data to large dynamic range and adequate S/N. The analysis takes quantization noise and saturation distortion into account and concludes that it is preferred to use small blocks and a (new) modified BFP format applying fractional exponents. Data from the EMISAR radar system are applied to illustrate the merits of the different schemes
  • Keywords
    data structures; floating point arithmetic; quantisation (signal); radar computing; radar polarimetry; radar resolution; signal sampling; synthetic aperture radar; ADC; EMISAR radar system; Gaussian distributed data; SAR data; bias removal; block floating point; continuous data representation; data formats; floating point representation; fractional exponents; high resolution radar; integer data representation; large dynamic range; optimal format selection; polarimetric SAR; quantization noise; radar data; saturation distortion; small blocks; 1f noise; Data analysis; Distortion; Dynamic range; Equations; Quantization; Sampling methods; Signal analysis; Silicon compounds; Synthetic aperture radar;
  • fLanguage
    English
  • Journal_Title
    Aerospace and Electronic Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9251
  • Type

    jour

  • DOI
    10.1109/7.745700
  • Filename
    745700