A fast prediction method of target electromagnetic scattering characteristics based on deep learning

Abstract

The invention discloses a method for rapidly predicting target electromagnetic scattering characteristics based on deep learning, comprising the following steps: S1: establishing a target electromagnetic simulation model; S2: determining factors affecting target electromagnetic scattering characteristics; S3: taking different values ​​of the influencing factors Under certain conditions, simulate the target model to obtain its far-field RCS, and establish a training set and a test set; S4: use the BP neural network algorithm to construct the BP neural network model; S5: use the training set to train the BP neural network model; S6: use the test set Test the trained BP neural network model, if the test is up to standard, go to step S7, if the test is not up to standard, then return to step S4; S7: use the BP neural network model that has passed the test to quickly predict the electromagnetic scattering characteristics. The invention effectively solves the problems of large amount of calculation and low solution efficiency in the existing method, and meets the requirement of rapid prediction of electromagnetic scattering characteristics of high dynamic targets.

Description

technical field [0001] The present invention relates to computational electromagnetics, in particular to a method for rapidly predicting target electromagnetic scattering characteristics based on deep learning. Background technique [0002] With the rapid development of intelligent technology and ad hoc network technology, the clustered and intelligentized collaborative system has become an inevitable trend in the work of electronic information systems. For detection electronic equipment, the target is irradiated by emitting electromagnetic waves and its echo is received, thereby obtaining information such as the distance from the target to the electromagnetic wave emission point, the distance change rate (radial velocity), azimuth, and height. [0003] The scattered echo of the target is the basis of the work of detection electronic equipment. For large-scale complex targets, the traditional numerical method has a large amount of calculation and the solution speed is slow. ...

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to overcome the deficiencies of the prior art and provide a rapid prediction method for target electromagnetic scattering characteristics based on deep learning, which effectively solves the problems of large amount of calculation and low solution efficiency of existing methods, and satisfies the electromagnetic scattering characteristics of high dynamic targets Rapidly Anticipated Demand

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