  Mitigation of radio frequency interference (RFI) is essential to deliver
science-ready radio interferometric data to astronomers. In this paper, using
dual polarized radio interferometers, we propose to use the polarization
information of post-correlation interference signals to detect and mitigate
them. We use the directional statistics of the polarized signals as the
detection criteria and formulate a distributed, wideband spectrum sensing
problem. Using consensus optimization, we solve this in an online manner,
working with mini-batches of data. We present extensive results based on
simulations to demonstrate the feasibility of our method.
