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Principles of the utilization of polarization-invariant parameters for classification and recognition of complex radar objects

Published online by Cambridge University Press:  17 April 2012

Piet van Genderen*
Affiliation:
Faculty of Electrical Engineering, Mathematics and Computer Science, Delft University of Technology/IRCTR, Mekelweg 4, Delft, The Netherlands. Phone: +31152781034
Victor N. Tatarinov
Affiliation:
Tomsk University of Control Systems and Radioelectronics, 40 Lenin Avenue, 634050 Tomsk, Russian Federation
Sergey V. Tatarinov
Affiliation:
Tomsk University of Control Systems and Radioelectronics, 40 Lenin Avenue, 634050 Tomsk, Russian Federation
*
Corresponding author P. van Genderen Email: P.vanGenderen@tudelft.nl
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Abstract

The paper presents the first attempt to develop parameters that are invariant to polarization, aimed at classification and recognition of complex radar objects. Both the simplest (two-point) model and multipoint models of a complex object are analyzed using the so-called emergence principle and a generalization of the interference laws. The polarization invariant parameters of scattered fields and their statistical parameters, including autocorrelation functions and space spectra, are found. The experimental validation of the analysis results is presented.

Information

Type
Research Papers
Copyright
Copyright © Cambridge University Press and the European Microwave Association 2012
Figure 0

Fig. 1. (a) Image of a navy ship. (b) Collections of bright points of the ship.

Figure 1

Fig. 2. Scattering geometry for the two-point radar object.

Figure 2

Fig. 3. Two-point radar object N3.

Figure 3

Fig. 4. (a) Generalized interference law for the Stokes parameter S0(θ) (object N3). (b) Generalized interference law for the Stokes parameter S3(θ) (object N3).

Figure 4

Fig. 5. Scattering geometry for the multipoint radar object.

Figure 5

Fig. 6. Experimental realization of S3(θ), having the form of a narrow-band stochastic process of angular variable.

Figure 6

Fig. 7. ACF of the RCRO stochastic polarization-angular response.

Figure 7

Fig. 8. Mean power space spectra of RCRO.