@InProceedings{8553024,
  author = {R. Cao and T. F. Wong and H. Gao and D. Wang and Y. Lu},
  booktitle = {2018 26th European Signal Processing Conference (EUSIPCO)},
  title = {Blind Channel Direction Separation Against Pilot Spoofing Attack in Massive MIMO System},
  year = {2018},
  pages = {2559-2563},
  abstract = {This paper considers a pilot spoofing attack scenario in a massive MIMO system. A malicious user tries to disturb the channel estimation process by sending interference symbols to the base-station (BS) via the uplink. Another legitimate user counters by sending random symbols. The BS does not possess any partial channel state information (CSI) and distribution of symbols sent by malicious user a priori. For such scenario, this paper aims to separate the channel directions from the legitimate and malicious users to the BS, respectively. A blind channel separation algorithm based on estimating the characteristic function of the distribution of the signal space vector is proposed. Simulation results show that the proposed algorithm provides good channel separation performance in a typical massive MIMO system.},
  keywords = {blind source separation;channel estimation;MIMO communication;radiofrequency interference;telecommunication security;vectors;massive MIMO system;CSI;signal space vector;partial channel state information;base-station;interference symbols;channel estimation process;malicious user;pilot spoofing attack scenario;blind channel direction separation;Channel estimation;Signal processing;MIMO communication;Uplink;Signal processing algorithms;Antennas;Europe;Massive MIMO;pilot spoofing attack;blind channel separation},
  doi = {10.23919/EUSIPCO.2018.8553024},
  issn = {2076-1465},
  month = {Sep.},
  url = {https://www.eurasip.org/proceedings/eusipco/eusipco2018/papers/1570436932.pdf},
}

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Lu},\n booktitle = {2018 26th European Signal Processing Conference (EUSIPCO)},\n title = {Blind Channel Direction Separation Against Pilot Spoofing Attack in Massive MIMO System},\n year = {2018},\n pages = {2559-2563},\n abstract = {This paper considers a pilot spoofing attack scenario in a massive MIMO system. A malicious user tries to disturb the channel estimation process by sending interference symbols to the base-station (BS) via the uplink. Another legitimate user counters by sending random symbols. The BS does not possess any partial channel state information (CSI) and distribution of symbols sent by malicious user a priori. For such scenario, this paper aims to separate the channel directions from the legitimate and malicious users to the BS, respectively. A blind channel separation algorithm based on estimating the characteristic function of the distribution of the signal space vector is proposed. 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