Cognitive passive radar system: software defined radio and deep learning approach

Cognitive passive radar system: software defined radio and deep learning approach

Cognitive passive radar (CPR) system is amenable to electromagnetic environment cooperating and optimal strategy making tasks on account of illumination source availability and waveform evaluation. In fact, intelligence will provide performance gain from multi-dimension optimisation. Therefore, we p...

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Bibliographic Details
Main Authors: Qing Wang, Panfei Du, Tongdong Dou, Lirong Gao, Chun Li
Format: Article
Language:English
Published: Wiley 2019-09-01
Series:The Journal of Engineering
Subjects:
passive radar
optimisation
adaptive signal processing
software radio
learning (artificial intelligence)
cognitive radar
convolutional neural nets
recurrent neural nets
signal classification
electromagnetic wave propagation
waveform analysis
radar computing
software defined radio platform
wideband signal processing
flexible signal processing
deep learning framework
long short-term memory
innovative passive perception-action cycle
cpr prototype system
adaptive signal processing ability
cognitive passive radar system
electromagnetic environment cooperating
optimal strategy
illumination source availability
waveform evaluation
performance gain
multidimension optimisation
passive radar illumination source
multistandard multischeme compatible wideband cpr framework
electromagnetic waveform recognition
classifier
convolutional neural networks
cnn
lstm
real-time high accuracy modulation recognition ability
Online Access:https://digital-library.theiet.org/content/journals/10.1049/joe.2019.0628

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https://digital-library.theiet.org/content/journals/10.1049/joe.2019.0628

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