Characterization of Clutter and its Use in Maintaining CFAR Operation
- 1 January 1984
- journal article
- research article
- Published by Taylor & Francis in Electromagnetics
- Vol. 4 (2-3) , 185-203
- https://doi.org/10.1080/02726348408908113
Abstract
A statistical summary of the standard clutter models is given - Gamma, Inverse Gaussian, Log-normal, Weibull - and it is shown how mixtures of these distributions can be used to represent measured clutter data. This is then related to the problem of detecting a target embedded in clutter and it is shown how this type of clutter characterization can be used to construct a general CFAR detection method. This involves an adaptive adjustment of the detection threshold based on measured characteristics of the clutter. The procedure will maintain a constant false alarm rate as the received clutter data varies over different mixtures of distribution types.Keywords
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