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

Abstract

The invention discloses an RCS near-far field transformation method based on a deep neural network, which comprises the steps of first, selecting a neural network according to radar echo data measuredin the near field, wherein a feed-forward neural network is selected if the radar echo data is single-frequency-point data, and a convolutional neural network is selected if the radar echo data is multi-frequency-point data; second, obtaining near-field RCS data and corresponding far-field RCS data to serve as training samples, wherein the near-field RCS data serves as input of the neural network, an output expected result is compared with the generated far-field RCS data, the neural network is trained through an error back-propagation algorithm, and a neural network conforming to error requirements is obtained through adjusting control parameters of the neural network; and third, inputting the RCS data measured in the near field into the trained neural network in actual transformation soas to obtain the transformed far-field RCS data. The RCS near-far field transformation method reduces numerical values caused by the discretization in implementation of the traditional algorithm, andis a brand new RCS near-far field transformation method.

Description

technical field [0001] The invention belongs to the field of microwave measurement, and in particular relates to an RCS (radar cross section) near-far field conversion method based on a deep neural network. Background technique [0002] Stealth technology, as an advanced technology verified in actual combat in recent years, has long become a hot spot for research by various countries. The core goal of stealth is to reduce the radar cross section (RCS) of the target by various means. Stealth technology has become a technology widely used in weapons and equipment systems around the world. Stealth technology has been widely used in various weapons and equipment systems such as aircraft and missiles. [0003] The development of stealth technology must be inseparable from the corresponding measurement technology, so the measurement technology of stealth performance based on radar cross section (RCS) has important reference value for the development of stealth technology. Accord...

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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