Title :
SAR Processor based on a CFAR Signal or Interference Subspace Detector Matched to Man Made Target Detection in a Forest
Author :
Durand, R. ; Ginolhac, Guillaume ; Thirion, L. ; Forster, Philippe
Author_Institution :
SONDRA, SUPELEC, Gif-sur-Yvette, France
Abstract :
This paper deals with two new SAR processors based on CFAR subspaces detector. These two algorithms aim at improving man made target detection performances in a forest clutter by using electromagnetic scattering models. The implementation of the two detectors is described. An application on simulated data shows the interest of the two methods.
Keywords :
electromagnetic wave scattering; radar signal processing; signal denoising; signal detection; synthetic aperture radar; CFAR signal; CFAR subspaces detector; SAR processor; electromagnetic scattering models; forest clutter; interference subspace detector; man made target detection; Clutter; Computational modeling; Covariance matrix; Detectors; Electromagnetic scattering; Gaussian noise; Interference; Object detection; Signal processing; Signal processing algorithms; Detection; FOPEN; SAR; SAR processor; Subspace Detector;
Conference_Titel :
Acoustics, Speech and Signal Processing, 2007. ICASSP 2007. IEEE International Conference on
Conference_Location :
Honolulu, HI
Print_ISBN :
1-4244-0727-3
DOI :
10.1109/ICASSP.2007.366230
