CFAR Technology

The CFAR method of setting alarms operates by splitting the threshold setting process into two stages.

  • Primary Processing adaptively sets a Primary Threshold in the data so that threshold exceedances are maintained at a constant level.  This level controls the sensitivity to the defects the symptoms of which are expressed in the data.
  • Secondary Processing eliminates uncorrelated exceedances to produce the alert at a known false alert rate; because the alerts from the primary processing are at a known rate then the binary integration process employed in this stage is used to achieve the specified false alert rate.

The strength of the CFAR technique is that it:

  • Makes no assumptions about the statistical characteristics of the data.
  • Produces alerts that are unaffected by changes in the characteristics of data over time.
  • Is impervious to the low frequency changes that are common in condition data, reacting only to short term effects that relate to a defect.
  • It achieves very low false alert rates, to a level where they no longer mask true alerts.
  • Can be managed to maintain the target false alert rate without compromising the sensitivity to defects.

The technology provides consistent, robust and reliable alert generation.

Diagram:
CFAR Processing

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