Data Processing and Reduction

  • Eugene F. Knott


Most test objects are large enough in terms of wavelengths that their RCS patterns are often characterized by 20- to 40-dB fluctuations between peaks and nulls that are sometimes separated by barely a fraction of a degree. While this detail can be absorbed and interpreted by a skilled analyst working with a few patterns, it can be overwhelming when several dozen such patterns must be compared and analyzed, relative RCS values extracted, and conclusions drawn about their implications. For comparison purposes, therefore, the analyst often relies on smoothed data from which the rapid fluctuations have been filtered by statistical processing.


Probability Density Function Linear Space Background Subtraction Processing Window Polar Pattern 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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  1. 1.
    N. L. Johnson and F. C. Leone, Statistics and Experimental Design, Wiley, New York and London, 1964, p. 260.Google Scholar
  2. 2.
    E. F. Knott, J. F. Shaeffer, and M. T. Tuley, Radar Cross Section, Artech House, Norwood, Mass., 1985, pp. 439–440.Google Scholar
  3. 3.
    M. Abramowitz and I. A. Stegun (editors), Handbook of Mathematical Functions, U.S. National Bureau of Standards, November 1970, Chapter 7, “Error Function and Fresnel Integrals.”Google Scholar
  4. 4.
    Radar Cross Section Measurements with the HP 8510 Network Analyzer,“ Product Note 8510–2, Hewlett-Packard Company, Santa Rosa, Calif., April 1985.Google Scholar

Copyright information

© Van Nostrand Reinhold 1993

Authors and Affiliations

  • Eugene F. Knott

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