鲁棒性非线性动力学辐射源指纹特征提取方法

doi:10.12305/j.issn.1001-506X.2025.04.03

Abstract

Abstract:

The uniqe nonlinear characteristic of the emitter system can be used in the radio frequency fingerprinting (RFF) technique. Especially, the nonlinear dynamics reconstructed phase space (RPS) feature has a natural advantage over the linear channel and is more sensitive to the subtle differences. However, it is also not robust enough under non-ideal scenarios. To solve this problem, the basis of nonlinear dynamics and its corresponding mechanism for RFF are analyzed, and the relevant theoretical model related to real and non-ideal application scenarios is improved in this paper.On this basis, the phase space K-order state transfer matrix is constructed, and the method to extract the RFF feature by characterising the properties of the K-order state transfer matrix is proposed, and its robustness is theoretically analyzed.Multiple experiments are carried out with the scenarios of random turbulence and multipath fading with real test and simulation data and the results show that the proposed feature is simple to compute, clear in mechanism, and has an obvious robustness advantage in many scenarios and high application value.

Key words: radio frequency fingerprinting (RFF), nonlinear dynamics, reconstructed phase space (RPS), unintentional modulation (UM)

CLC Number:

TN97

Liting SUN, Zheng LIU, Zhitao HUANG. Robust radio frequency fingerprinting feature extraction method based on nonlinear dynamics[J]. Systems Engineering and Electronics, 2025, 47(4): 1048-1056.

Figures/Tables 10

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References 36

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辐射源	滤波器失真		I/Q不平衡		功率放大器	杂散单音与载频泄露
辐射源	(a₀, a₁, α₁)	(b₀, b₁, β₁)	G	τ	(a₁, a₂, a₃)	a_ST	f_ST	ξ(10^－3)
R1	(1, 0.030, 0.25)	(1, 0.030 2, 0.25)	0.999 8	-0.018	(1, 0.50, 0.30)	0.008 2	0.012 9	1.3+8.2j
R2	(1, 0.060, 0.25)	(1, 0.029 5, 0.25)	1.005 6	0.017 5	(1, 0.08, 0.60)	0.007 5	0.013 2	1.5+7.2j
R3	(1, 0.085, 0.25)	(1, 0.029 0, 0.25)	1.010 2	0.012	(1, 0.01, 0.01)	0.007	0.012 3	1.1+6.8j
R4	(1, 0.073, 0.25)	(1, 0.031 0, 0.25)	0.999 2	0.003	(1, 0.01, 0.40)	0.008 7	0.013 5	1.7+9.0j
R5	(1, 0.040, 0.25)	(1, 0.031 3, 0.25)	0.998 2	0.024	(1, 0.60, 0.08)	0.009	0.011 9	2.0+6.5j

场景	信道延迟系数λ	信道衰减值方差σ²
L1	[1 0 0 1 0]	[0.8, 0, 0, 0.2, 0]
L2	[1 0 1 0 1]	[0.8, 0, 0.13, 0, 0.07]
L3	[1 1 1 1 1]	[0.865, 0.117, 0.016, 0.002, 0.000 3]

方法	SNR/dB	信道
方法	SNR/dB	L1	L2	L3	均值
K-STM	25	0.956	0.956	0.960	0.957
K-STM	30	0.976	0.976	0.992	0.981
Angle	25	0.924	0.880	0.958	0.921
Angle	30	0.944	0.896	0.988	0.943
Pe	25	0.444	0.336	0.328	0.369
Pe	30	0.532	0.536	0.496	0.521
EVM	25	0.584	0.352	0.380	0.439
EVM	30	0.720	0.584	0.792	0.699
I/Q	25	0.420	0.260	0.300	0.327
I/Q	30	0.516	0.372	0.592	0.493

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Robust radio frequency fingerprinting feature extraction method based on nonlinear dynamics

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