Radar signal interference prediction method combining sparse auto-encoder and improved LSTM

Abstract

The invention discloses a radar signal interference prediction method combining a sparse auto-encoder and an improved LSTM. The radar signal interference prediction method comprises the steps of collecting and preprocessing threat signals of enemy radar; representing the pre-processed threat signals as a pulse description word PWD list; constructing a sparse auto-encoder, and extracting nonlinear features of the pulse description word PWD list by adopting a sparse auto-encoder; constructing an improved LSTM network layer, and adopting an improved LSTM network layer to carry out modeling on a time sequence relation of the nonlinear features output by the sparse auto-encoder to obtain time sequence relation features; and constructing a full-connection classification layer, and outputting an interference technology type aiming at the threat signals of the enemy radar according to the time sequence relation features output by the improved LSTM network layer. According to the method, the nonlinear features of enemy radar signal pulse description words can be automatically extracted, the time sequence dependency relation of the enemy radar signal pulse description words along with time evolution is learned, and end-to-end modeling from feature extraction to type recognition is realized.

Description

technical field [0001] The application belongs to the field of radar signal interference prediction in electronic warfare, and specifically relates to a radar signal interference prediction method combining sparse autoencoder and improved LSTM. Background technique [0002] In electronic warfare, radar jamming is a common means of electronic countermeasures, which can be used to attack enemy radar or avoid being attacked by the enemy. The basic principle is that the jammer transmits jamming electromagnetic waves to the enemy's radar to achieve the effect of jamming the signal received by its radar. Since the effectiveness of jamming depends on the characteristics of the received radar signal, jamming techniques that are effective against threatening signals must be employed. When detecting the threat signal of the opponent's radar, it is necessary to select the corresponding jamming technology for electronic countermeasures. [0003] Traditional jamming methods will pre-bu...

AI Technical Summary

Problems solved by technology

Although such methods are simple and easy to use, when the threat signal changes slightly or a new radar signal is received, the corresponding entry cannot be retrieved in the library, and the appropriate jamming technique cannot be provided

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