Improvement in non-Gaussian jammers rejection with a non-linear spatial filter
Résumé
A novel nonlinear generalized sidelobe canceller (GSC) is proposed and approximated with Volterra filters of increasing degree. Steady-state performance is investigated in a realistic context. It is shown analytically that a linear-cubic GSC improves non-Gaussian jammer rejection when classical linear beamformers fail (strong jammer located very near the source). This nonlinear filter is adapted to the jamming environment but does not depend on the source signal distribution; it can be estimated in the absence of the source signal and frozen when it is present, whatever the source signal distribution. This method is particularly attractive for arrays of few sensors, because, in these cases, the computational complexity remains low.
Mots clés
signal processing
statistical analysis
nonlinear generalized sidelobe canceller
Volterra filters
source signal distribution
sensor
Spatial filters
Narrowband
Sensor arrays
Noise cancellation
Information filtering
Information filters
array signal processing
non-Gaussian jammer rejection
arrays of few sensors
computational complexity
Telecommunications
filtering and prediction theory
jamming
nonlinear network synthesis