SHEN Li-hua, LIN Sheng-bin, HUANG Kai-zhi. Analysis of the Artificial Noise Based System Security Performance Under Malicious Pilot Contamination[J]. Acta Electronica Sinica, 2017, 45(3): 650-655.
SHEN Li-hua, LIN Sheng-bin, HUANG Kai-zhi. Analysis of the Artificial Noise Based System Security Performance Under Malicious Pilot Contamination[J]. Acta Electronica Sinica, 2017, 45(3): 650-655. DOI: 10.3969/j.issn.0372-2112.2017.03.022.
According to the security problem caused by the malicious pilot contamination
this paper considers a three-node MIMO(Multple-Input Multiple-Output)network.First
the channel estimation results based on the least square criterion and the minimum mean square error criterion under the malicious pilot contamination are analyzed.Then by deducing the secrecy rate
we conclude that when the power of the pilot contamination from the eavesdropper is larger than that from the legitimate receiver
the secrecy rate is zero.Finally
the optimal power allocation schemes for the half-duplex and full-duplex eavesdropper are further studied
respectively.Simulation results show the effects of eavesdropping position
eavesdropping type
jamming power and other factors on the security performance.