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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