• DocumentCode
    1314877
  • Title

    Order statistic filters as postdetection processors

  • Author

    Saniie, Jafar ; Donohue, Kevin D. ; Bilgutay, Nihat M.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Illinois Inst. of Technol., Chicago, IL, USA
  • Volume
    38
  • Issue
    10
  • fYear
    1990
  • fDate
    10/1/1990 12:00:00 AM
  • Firstpage
    1722
  • Lastpage
    1732
  • Abstract
    The performance of radar detection systems can be improved through postdetection processing. The performance of the binary integrator from the viewpoint of order statistics is examined, and the binary integrator as an order statistic (OS) filter is described. A general analysis for OS filters in detection systems is developed and it is used to show the OS filter is a consistent and biased estimator of the quantities of the received signal distributions. The features of the OS filter and n -pulse integrator that are critical to detection performance are compared to determine the proper application of each processor. It is shown that the OS filter can be used to emphasize selective regions of the input distributions where good statistical separability between the class of input signals exist. A computer simulation is performed to illustrate the performance of binary and n-pulse integration for the detection of a white chi distributed target in white Weibull clutter and a white Rayleigh distributed target in white Rayleigh clutter
  • Keywords
    computerised signal processing; filters; radar clutter; radar systems; signal detection; biased estimator; binary integrator; n-pulse integrator; order statistic filters; postdetection processors; radar detection systems; received signal distributions; white Rayleigh clutter; white Rayleigh distributed target; white Weibull clutter; white chi distributed target; Computer simulation; Digital filters; Radar clutter; Radar detection; Signal analysis; Signal processing; Sonar applications; Sonar detection; Statistical distributions; Statistics;
  • fLanguage
    English
  • Journal_Title
    Acoustics, Speech and Signal Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0096-3518
  • Type

    jour

  • DOI
    10.1109/29.60103
  • Filename
    60103