Analysis of the influence of the resolution of the inverse synthesis aperture radar on the accuracy of polarization selection of objects based on the principal component method

Statement of the problem. One of the most important characteristics of synthetic aperture radar (SAR) systems is the resolution, which determines the level of detail of the acquired images and, consequently, the accuracy of subsequent classification of objects. In the conditions of increasing requirements to automatic processing of radar data, methods of dimensionality reduction and extraction of informative features, such as the principal component analysis (PCA) method, become particularly relevant. Taking into account the dependence of SAR efficiency on the resolution of radar images and the accuracy of target modelling, it is required to estimate the dependence of object classification accuracy on the resolution of PCA. Purpose. Investigation of the effect of aperture inversion synthesis radar resolution on object classification accuracy using the principal component method. Results. A multipoint model for a radar with synthesized aperture in Ka-band wavelengths (8 mm) was created, which allowed to simplify computational processes while maintaining high detailed images. The parameters of the probing LFM signal and angular intervals of the synthesized aperture were calculated taking into consideration the resolution requirements. An algorithm for processing reflected signals has been implemented in MATLAB, which allowed to construct polarization signatures of locatable objects. Polarization radar images of objects from different viewing angles were obtained by varying aperture synthesis parameters. The research confirmed the applicability of the proposed algorithm for the formation of training samples considering polarization characteristics. The influence of spatial resolution on the accuracy of binary classification by the method of principal components was evaluated. Research assesses the impact of spatial resolution on the accuracy of binary classification by means of the method of principal components. Practical significance. The limitations of application of the method of principal components in conditions of low resolution of radar systems with synthetic aperture are established.