Radio frequency interference obscures weak radio astronomy sources and complicates imaging the Universe; such interference from Earth-orbiting satellites has become pervasive. Prior linear approaches required estimation of the interference subspace, which can be highly dynamic and challenging. This paper develops a non-linear approach, which statistically eliminates certain strong interference signals without estimating the interference subspace across an M-element phased-array telescope. This new approach could supplement other linear processors; it does not distort beam patterns or consume spatial array degrees of freedom. The interference and desired signals can completely overlap in time and frequency with this nonlinear approach. Algorithm performance with an M-element array statistically eliminates common strong interference sources but increases the thermal noise by 3dB.
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