Radar radiation source signal recognition method based on deep learning network

The invention belongs to the technical field of recognition of radar radiation source signals in electronic countermeasures, and discloses a radar radiation source signal recognition method based on adeep learning network. Firstly, received radar radiation source signals are subjected to frequency r...

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Hauptverfasser: LIU MINGQIAN, LIAO GUIYUE, GONG FENGKUI
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creator LIU MINGQIAN
LIAO GUIYUE
GONG FENGKUI
description The invention belongs to the technical field of recognition of radar radiation source signals in electronic countermeasures, and discloses a radar radiation source signal recognition method based on adeep learning network. Firstly, received radar radiation source signals are subjected to frequency reduction preprocessing; a cross-ambiguity function based on linear canonical transform and a cross-ambiguity function based on a linear canonical domain of the received signals are calculated respectively, and the maximum cross section value of the cross-ambiguity function is extracted respectivelyas a feature sample set; and finally, through a sparse filtering-based capsule network, classification and recognition are carried out. Through extracting features of the linear canonical transform-based cross-ambiguity function of the signals, the uncertainty of the feature parameters in a data range in a complex electromagnetic wave environment can be overcome, and the recognition credibility is improved; and hierarchic
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language chi ; eng
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subjects ANALOGOUS ARRANGEMENTS USING OTHER WAVES
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES
LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION ORRERADIATION OF RADIO WAVES
MEASURING
PHYSICS
RADIO DIRECTION-FINDING
RADIO NAVIGATION
TESTING
title Radar radiation source signal recognition method based on deep learning network
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