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We consider a channel separation approach to counter the pilot attack in amassive MIMO system, where malicious users (MUs) perform pilot spoofing andjamming attack (PSJA) in uplink by sending symbols to the basestation (BS)during the channel estimation (CE) phase of the legitimate users (LUs). Morespecifically, the PSJA strategies employed by the MUs may include (i) sendingthe random symbols according to arbitrary stationary or non-stationarydistributions that are unknown to the BS; (ii) sending the jamming symbols thatare correlative to those of the LUs. We analyze the empirical distribution ofthe received pilot signals (ED-RPS) at the BS, and prove that itscharacteristic function (CF) asymptotically approaches to the product of theCFs of the desired signal (DS) and the noise, where the DS is the product ofthe channel matrix and the signal sequences sent by the LUs/MUs. Theseobservations motivate a novel two-step blind channel separation method, whereinwe first estimate the CF of DS from the ED-RPS and then extract the alphabet ofthe DS to separate the channels. Both analysis and simulation results show thatthe proposed method achieves good channel separation performance in massiveMIMO systems.

Blind Channel Separation in Massive MIMO System under Pilot Spoofing and Jamming Attack