Eavesdropping against wireless spatial scrambling secure communication: hyperplane clustering

The existing eavesdropping method has poor anti-noise performance and high complexity, which makes it not practical. It is shown that the received scrambled signals are distributed within parallel hyperplanes if adequate antennas are equipped by eavesdropper. According to this distribution, a hyperp...

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Bibliographic Details
Main Authors: Lu LIU, Liang JIN, Kai-zhi HUANG, Zhou ZHONG
Format: Article
Language:zho
Published: Editorial Department of Journal on Communications 2014-04-01
Series:Tongxin xuebao
Subjects:
Online Access:http://www.joconline.com.cn/zh/article/doi/10.3969/j.issn.1000-436x.2014.04.009/
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Summary:The existing eavesdropping method has poor anti-noise performance and high complexity, which makes it not practical. It is shown that the received scrambled signals are distributed within parallel hyperplanes if adequate antennas are equipped by eavesdropper. According to this distribution, a hyperplane clustering (HC) algorithm was presented to blindly estimate the hyperplane parameters which reveal the sending information. Simulation results show that the HC algorithm, compared with the existing MUSIC-like algorithms, holds the advantages of better anti-noise performance and lower computing complexity.
ISSN:1000-436X