Radar target recognition method based on resonance scattering echo signal

A radar target and scattered echo technology, which is applied in radio wave measurement systems, instruments, etc., can solve the problems of difficult and slow recognition of low-observable radar targets, and achieves difficult to recognize low-observable radar targets and improved processing time. , the effect of improving the recognition speed

Pending Publication Date: 2021-03-19
SHANGHAI RADIO EQUIP RES INST
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Problems solved by technology

[0004] The present invention proposes a radar target recognition method based on resonant scattered echo signals, which solves the problems of difficult

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  • Radar target recognition method based on resonance scattering echo signal
  • Radar target recognition method based on resonance scattering echo signal
  • Radar target recognition method based on resonance scattering echo signal

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Embodiment Construction

[0035] The present invention will be described in further detail below in conjunction with the accompanying drawings and specific embodiments. Advantages and features of the present invention will be apparent from the following description and claims. It should be noted that the drawings are all in a very simplified form and use imprecise ratios, which are only used to facilitate and clearly assist the purpose of illustrating the embodiments of the present invention.

[0036] Such as figure 1 As shown, the present invention proposes a radar target recognition method based on resonance scattering echo signals, comprising the following steps:

[0037] S1. Using the finite-difference time-domain algorithm to obtain the resonant scattering echo signals of typical radar targets of known categories, and establish a typical radar target resonant scattering echo database;

[0038] Specifically, the finite difference time domain algorithm is used to carry out the simulation modeling ...

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Abstract

The invention discloses a radar target recognition method based on a resonance scattering echo signal. The method comprises the following steps: S1, obtaining the resonance scattering echo signal of atypical radar target of a known type through employing a time domain finite difference algorithm, and building a typical radar target resonance scattering echo database; S2, establishing a deep neural network model taking the typical radar target resonance scattering echo database as input and the typical radar target category as output, and calculating network parameters of the deep neural network model in combination with a backward propagation model; and S3, obtaining the resonance scattering echo signal of the measured radar target, and taking the resonance scattering echo signal as the input of the deep neural network model of the network parameters calculated in the step S2 so as to obtain the type of the measured radar target. According to the invention, the radar target with low observability can be rapidly identified.

Description

technical field [0001] The invention relates to radar target intelligent recognition technology, in particular to a radar target recognition method based on radar target resonance scattering echo. Background technique [0002] Modern warfare has higher and higher requirements for informationization and intelligence of weapon systems, requiring radar systems to have full airspace surveillance capabilities, rapid response capabilities, and accurate target classification and identification capabilities. Radar automatic target recognition technology can provide information such as target categories and attributes, which is very important for improving the command and automation level of the army, enhancing electronic countermeasures, precision guidance, identification of friend and foe, air defense and anti-missile, space detection, intelligence acquisition and strategic early warning capabilities effect. The United States, Russia and other military powers regard it as the focu...

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Application Information

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IPC IPC(8): G01S7/41
CPCG01S7/417G01S7/411
Inventor 郭良帅李亚军张慧媛张润俊
Owner SHANGHAI RADIO EQUIP RES INST
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