A Novel Method Based on Order Statistics for Extracting Fingerprint of Narrow Band Emitter

Tang  Zhi-Ling; Yang  Xiao-Niu; Li Jian-Dong

doi:10.3724/SP.J.1146.2010.01058

Volume 33 Issue 5

Jun. 2011

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Article Navigation > Journal of Electronics & Information Technology > 2011 > 33(5): 1224-1228

Tang Zhi-Ling, Yang Xiao-Niu, Li Jian-Dong. A Novel Method Based on Order Statistics for Extracting Fingerprint of Narrow Band Emitter[J]. Journal of Electronics & Information Technology, 2011, 33(5): 1224-1228. doi: 10.3724/SP.J.1146.2010.01058

Citation:

Tang Zhi-Ling, Yang Xiao-Niu, Li Jian-Dong. A Novel Method Based on Order Statistics for Extracting Fingerprint of Narrow Band Emitter[J]. Journal of Electronics & Information Technology, 2011, 33(5): 1224-1228. doi: 10.3724/SP.J.1146.2010.01058

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A Novel Method Based on Order Statistics for Extracting Fingerprint of Narrow Band Emitter

doi: 10.3724/SP.J.1146.2010.01058 cstr: 32379.14.SP.J.1146.2010.01058

Received Date: 2010-09-29
Rev Recd Date: 2011-02-14
Publish Date: 2011-05-19

Abstract

Abstract

The static nonlinear feature of narrow band Radio Frequency Power Amplifier (RF PA) is made as the fingerprint of wireless communication emitter. RF PA with unknown input can be looked as a static nonlinear Hammerstein model. The process of feature extraction from this model is split into two steps. The first step is signal samples whitening and the second is the estimation of Taylor series coefficients. The order statistics of the whitening signal samples is monotone. Then the features are estimated through linear regression using least square method. Comparing feature vectors of 4 RF power amplifiers results in that the proposed algorithm is effectively to identification different type of RF power amplifiers.
- Narrow band communications,
- Recognition of fingerprint,
- Order statistics,
- Nonlinear

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References

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