A RCS near-far field transformation method based on deep neural network

Abstract

The invention discloses an RCS near-far field conversion method based on a deep neural network. 1. A neural network is selected according to radar echo data measured in the near field: if the radar echo data is single-frequency point data, a feedforward neural network is selected; If the radar echo data is multi-frequency point data, then select the convolutional neural network; 2. Obtain the near-field RCS data and the corresponding far-field RCS data as training samples, and the near-field RCS data is used as the input of the neural network, and the output expectation The results are compared with the generated far-field RCS data, the neural network is trained by the error back propagation algorithm, and the neural network that meets the error requirements is obtained by adjusting the neural network control parameters; 3. During the actual transformation, the near-field measured RCS data is input into the trained one. Neural network can be used to obtain the transformed far-field RCS data; the invention reduces the numerical error caused by the need for discrete implementation of the traditional algorithm, and is a new perspective of the RCS near-far field transformation method.

Description

technical field [0001] The invention belongs to the field of microwave measurement, in particular to an RCS (radar scattering cross section) near-far field transformation method based on a deep neural network. Background technique [0002] As an advanced technology verified by actual combat in recent years, stealth technology has already become a hot research topic in various countries. The core goal of stealth is to reduce the radar cross section (RCS) of the target through various means. Stealth technology has become a technology widely used in weapon equipment systems all over the world, and stealth technology has been widely used in various weapon equipment systems such as aircraft and missiles. [0003] The development of stealth technology is inseparable from the corresponding measurement technology. Therefore, the measurement technology of stealth performance mainly based on radar cross section (RCS) has important reference value for the development of stealth techno...

AI Technical Summary

Problems solved by technology

Mathematically, the relationship between near-field scattering measurement data and far-field RCS can be solved, but in engineering implementation, since the actual echo signals are all digital signals, the formula needs to be discrete and truncated during the implementation of the algorithm. Avoidance will bring certain errors and affect the accuracy of the algorithm

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