www. Radartutorial .eu



Fluctuation Loss

Figure 1: the rotating diagram as the cause of fluctuation

Figure 1: the rotating diagram as the cause of fluctuation

The fluctuation of the reflected signal is based on the complicated diagram of the relative radar cross-section (RCS). At a forward movement the RCS diagram of the airplane is turned in the reference to the radar set. Caused by the temporal changes of the aim course the amplitudes and phase changes effect a strong fluctuation of the reception field strength at the radar antenna.

Swerling target models are special cases of the Chi-Square target models with specific degrees of freedom.

The Swerling models were introduced in 1954 by the American mathematician Peter Swerling and are used to describe the statistical properties of the radar cross-section of objects with complex formed surface. According to the Swerling models the RCS of a reflecting object based on the chi-square probability density function with specific degrees of freedom. These models are of particular importance in the theoretically radartechnology. There are five different Swerling models, numbered with the Roman numerals I through V:

The Swerling cases I and II applies to a target that is made up of many independent scatterers of roughly equal areas like airplanes. Cases III and IV approximates an object with one large scattering surface with several other small scattering surfaces. This may be the case for ships. Swerling shows in his publication, that an additional fluctuation loss depends more on the probability of detection and less on the probability of false alarms PN.

Given values of the theoretically maximum range of a tracking radar set are based on the Swerling II and IV Target Model often. The fluctuation loss of a steady target is with the typical value of 1 to 2 Decibels relatively small at a probability of detection PD=60%.

Figure 2: Fluctuation loss Lf for the Swerling cases I and III

Fluctuation loss L<sub>f</sub> for the Swerling cases I and III

Figure 2: Fluctuation loss Lf for the Swerling cases I and III

The cases I and III apply for search radars. The fluctuation loss depends on the probability of detection and is shown in Figure 1. There is a fluctuation gain for a PD<30%. This is while the statistically changing of the magnitude excels small signal-to-noise ratios.

Source: Swerling, Probability of Detection for Fluctuating Targets, Rand Research Memorandum RM-1217, March 17, 1954

Publisher: Christian Wolff
Text is available under the GNU Free Documentation License, and the
Creative Commons Attribution-Share Alike 3.0 Unported license, additional terms may apply.