An Impulsive Interference Depression Method Based on Polarization Analysis

The impulsive interference occurred in the received signals causes bad performance in signal processing. Thus noise should be suppressed. In this paper, a novel method based on polarization analysis is proposed to reject transient noise. With the polarization parameters of the vector signals, a polarization filter is built up. When the filter is applied to the received signals, the impulsive interferences are wiped off at the same time. The data segments contaminated by the interference are found out via the modulate function of the polarization filter, and then the polarization model is used to reconstruct the signal segments. The validity of the suggested approach is demonstrated by simulation results and experiment data.