K.P. Likhoedenko1, G.M. Seregin2, V.B. Suchkov3, A.Yu. Perov4

1–4 Bauman Moscow State Technical University (Moscow, Russia)

1 klikhoedenko@bmstu.ru, 2 seregin@bmstu.ru, 3 vbs-2014@bmstu.ru, 4 perovau@bmstu.ru

The paper presents a multi-point model of the GPS satellite for the algorithm of formation of polarization radar portraits for an inverse synthetic-aperture radar. This method has several advantages over classical methods for forming radar signatures of complex geometric objects. It has been presented that the usage of multi-point representation of the location object allows to significantly reduce the time of calculation of the reflected signal parameters and construction of the radar portrait.

A multi-point GPS satellite representation for an inverse synthetic-aperture radar operating in the X-band at 10 GHz has been generated. The parameters of the probing LFM radio signal have been calculated according to the presented methodology. The angular intervals of the synthesized aperture have been also defined, taking into account the resolution requirements when using a multipoint model with a projection parallelepiped size of 25 cm. For the calculated bandwidth and synthesis intervals, the complex reflection coefficients for the full polarization matrix of the reflected signal have been calculated. The computed values of the reflected signal in the spatial-frequency grid have been mapped to the picture plane using the inverse Fourier transform operation. Polarization radar portraits have been synthesized for the investigated location object from a given sighting angle at different values in range and azimuth angle.

The described approach allowed a radar portrait of the target to be generated several times faster than with classical approaches. The radar's range resolution of 18.3 cm and azimuth resolution of 9.4 cm enable the formation of a signature with sufficient resolution to apply image processing algorithms for feature extraction. The use of a polarization channel for information processing extends the initial space of features. It also allows the application of polarization selection methods.

Likhoedenko K.P., Seregin G.M., Suchkov V.B., Perov A.Yu. Mathematical modeling of polarized radar images for complex shaped objects on the basis of their multipoint models in radar systems with inverse aperture synthesis. Achievements of modern radioelectronics. 2024. V. 78. № 2. P. 13–24. DOI: https://doi.org/10.18127/j20700784-202402-02 [in Russian]

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