Swerling models were introduced by Peter Swerling and are used to describe the statistical properties of the radar cross-section of complex objects.
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General Target Model
Swerling target models give the radar cross-section (RCS) of a given object using a distribution in the location-scale family of the chi-squared distribution.
where
Since the ratio of the standard deviation to the mean value of the chi-squared distribution is equal to
Swerling Target Models
Swerling target models are special cases of the Chi-Squared target models with specific degrees of freedom. There are five different Swerling models, numbered I through V:
Swerling I
A model where the RCS varies according to a Chi-squared probability density function with two degrees of freedom (
Swerling I has been shown to be a good approximation when determining the RCS of objects in aviation.
Swerling II
Similar to Swerling I, except the RCS values returned are independent from pulse to pulse, instead of scan to scan.
Swerling III
A model where the RCS varies according to a Chi-squared probability density function with four degrees of freedom (
Swerling IV
Similar to Swerling III, but the RCS varies from pulse to pulse rather than from scan to scan.
Swerling V (Also known as Swerling 0)
Constant RCS, corresponding to infinite degrees of freedom (