Method and device for identifying individual communication station based on rhombus integral bi-spectrum
An identification method and technology of communication stations, which are applied in the field of modern communication system security and communication signal processing, can solve problems such as weak immunity, individual phase characteristics of lost signals, and low accuracy of classification characteristics
Inactive Publication Date: 2014-04-02
HUAZHONG UNIV OF SCI & TECH
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Problems solved by technology
In the above partial bispectrum, the axial integral bispectrum loses the phase characteristics of the signal individual, which is extremely unfavorable for individual station identification. The radial integral bispectrum and the circular integral bispectrum have non-uniform sampling problems, and the accuracy of classification features is not high. , while the immunity of bispectrum to noise is weaker than that of the above three integrated bispectrum
Therefore, the use of the above four local bispectral features for individual identification of communication stations has great limitations
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[0035] see figure 1 A method for individual identification of communication stations based on rhombic integral bispectrum provided by an embodiment of the present invention includes:
[0036] Step 10, after down-converting and digitally sampling the received individual signals of the communication stations, performing bispectrum feature analysis on the individual signals of the communication stations to obtain a rhombus integral bispectrum RHIB.
[0037] Step 20: Optimizing the rhombus integral bispectral RHIB features according to Fisher's separability criterion, and performing individual feature fusion of communication stations.
[0038] Step 30, using a one-to-one support vector machine as a pattern classifier to identify individual communication stations.
[0039] Wherein, step 10 performs bispectral feature analysis on individual signals of communication stations to obtain a rhombus integral bispectrum RHIB including:
[0040] Step 101, calculate the communication station...
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The invention provides a method for identifying an individual communication station based on a rhombus integral bi-spectrum. The method comprises the following steps of: carrying out bi-spectrum feature analysis on an individual communication station signal to obtain a rhombus integral bi-spectrum (RHIB); optimizing the features of the RHIB according to a Fisher separating degree rule and carrying out feature fusion on the individual communication station; and identifying the individual communication station by adopting a one-to-one support vector machine as a pattern classifier. According to the method and the device for identifying the individual communication station based on the rhombus integral bi-spectrum, which is provided by the invention, the individual communication station can be effectively identified by taking the RHIB as a main body signal feature.
Description
technical field [0001] The invention relates to the technical fields of modern communication system security and communication signal processing, in particular to a method and device for individual identification of communication stations based on rhombic integral bispectrum. Background technique [0002] Communication station individual identification technology is a hot spot in the field of modern communication system security technology. The new communication station individual feature analysis method has gradually attracted people's attention, especially in the aspect of using high-order spectrum for communication station individual feature extraction. Effect. Since the actual coded and modulated communication station signals are all non-stationary or non-Gaussian signals, and the individual characteristics of communication stations are more irregular non-stationary, nonlinear and non-Gaussian, the traditional first-order, Communication signal processing methods such as...
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IPC IPC(8): H04B17/00
Inventor 徐书华徐丽娜徐争光莫益军邹宁
Owner HUAZHONG UNIV OF SCI & TECH