Forward automatic modeling method for high-frequency region radar target scattering center

Abstract

The invention provides a forward automatic modeling method for a high-frequency region radar target scattering center. The method comprises the following steps: firstly, carrying out solid component and surface partitioning on a target CAD geometric model, and outputting a numbered solid component and surface; adopting ray tracing and a space ray diversity technology based on partition numbers todecompose the target echo contribution into the sum of contributions of a plurality of strong scattering centers to achieve effective separation and quantitative characterization of the target strongscattering centers and judgment of main scattering sources and areas, and establishing the accurate corresponding relation between the strong scattering centers and target entity components; and finally, according to a high-frequency region target electromagnetic scattering mechanism, developing an automatic scattering center attribute parameter forward calculation method. The scattering center model constructed by the method has a clear corresponding relationship with the target structure, which is more beneficial to target recognition.

Description

technical field [0001] The invention belongs to the field of radar target characteristic modeling, in particular to a forward automatic modeling method for radar target scattering centers in high-frequency regions. Background technique [0002] In SAR image target recognition, feature selection and extraction are the basis and key of target interpretation. The features selected in the early stage are mainly geometric features similar to optical images, such as peaks, ridges, valleys and other geometric features in SAR images. Although such geometric features can reflect the differences of different targets to a certain extent, they are relatively rough features, and their ability to be used for SAR interpretation and recognition is limited. Subsequent researchers have proposed a variety of transform domain features. Transform domain features extract invariant features in SAR images through mathematical statistics, mathematical transformation and signal analysis. In genera...

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Problems solved by technology

On the one hand, this kind of inverse method relies on echo data, and the acquisition of measured data is difficult and costly, while the acquisition of simulation data requires a lot of time or computing resources; on the other hand, the scattering center and characteristic parameters given by the inverse method are often Lack of physical meaning, it is difficult to correspond to the specific structure of the actual target, which is not conducive to target interpretation and recognition

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