MLP-CFAR for improving coherent radar detectors robustness in variable scenarios

•Neural Networks based CFAR techniques are proposed in an improved coherent radar detector.•A coherent detector using a unique CFAR is compared to the classical bank of CFAR techniques.•The filter bank output is statistically analyzed to prove Gaussian CFARs unfeasibility.•The proposed neural CFAR c...

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Veröffentlicht in:	Expert systems with applications 2015-07, Vol.42 (11), p.4878-4891
Hauptverfasser:	Mata-Moya, David, del-Rey-Maestre, Nerea, Peláez-Sánchez, Víctor M., Jarabo-Amores, María-Pilar, Martín-de-Nicolás, Jaime
Format:	Artikel
Sprache:	eng
Schlagworte:	CFAR Coherent radar Constant false alarm rate Detectors Doppler Doppler effect Filter banks MTD MTI Neural Networks Neyman–Pearson detector Radar detection
Online-Zugang:	Volltext
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