MLP-based approximation to the Neyman Pearson detector in a terrestrial passive bistatic radar scenario.
Nerea del-Rey-MaestreDavid de la Mata-MoyaPilar Jarabo AmoresJaime Martin-de-NicolasPedro Gomez-del-HoyoPublished in: EUROCON (2015)
Keyphrases
- neyman pearson
- neural network
- sar imaging
- type ii
- received signal
- fourier transform
- signal processing
- support vector machine
- binary classification
- inverse synthetic aperture radar
- isar imaging
- measurement errors
- radar images
- spectral estimation
- synthetic aperture radar
- space variant
- multi layer perceptron
- upper bound