False-Alarm Regulation in Log-Normal and Weibull Clutter
Garry Goldstein
Abstract
Garry Goldstein
Abstract
Automatic detection radars require some method of adapting to variations in the background clutter in order to control their false-alarm rate. Conventional cell-averaging techniques designed to maintain a constant false-alarm rate in Rayleigh clutter will fail to control the false-alarm rate in more severe clutter environments such as log-normal or Weibull clutter. A processor is described which is capable of maintaining false-alarm regulation in log-normal clutter and in Weibull clutter (and, under certain conditions, over the entire family of log-normal and Weibull distributions).
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Automatic detection radars require some method of adapting to variations in the background clutter in order to control their false-alarm rate. Conventional cell-averaging techniques designed to maintain a constant false-alarm rate in Rayleigh clutter will fail to control the false-alarm rate in more severe clutter environments such as log-normal or Weibull clutter. A processor is described which is capable of maintaining false-alarm regulation in log-normal clutter and in Weibull clutter (and, under certain conditions, over the entire family of log-normal and Weibull distributions).
Key concepts: Clutter, Constant false alarm rate, Weibull distribution, Rayleigh distribution, Shape parameter, Computer science, False alarm, Statistics