Complex radar radiation source identification method based on one-dimensional self-stepping convolutional neural network

The invention provides a complex radar radiation source identification method based on a one-dimensional self-stepping convolutional neural network, and solves the problems that in the prior art, dimension transformation processing needs to be carried out on radar signals and the identification rate...

Ausführliche Beschreibung

Bibliographische Detailangaben

Hauptverfasser:	JING ZEHUAN, LI PENG, WANG ZHAO, YIN XUEFENG, WU BIN, ZHANG KUI, YUAN SHIBO
Format:	Patent
Sprache:	chi ; eng
Schlagworte:	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
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