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Individual identification method of FSK (frequency-shift keying) signal based on slice bi-spectrum and wavelet transformation

A technology of wavelet transform and recognition method, which is applied in the direction of modulated carrier system, digital transmission system, electrical components, etc., and can solve the problem of high signal-to-noise ratio requirements

Inactive Publication Date: 2013-02-06
三亚哈尔滨工程大学南海创新发展基地
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Problems solved by technology

[0006] The purpose of the present invention is to provide an FSK signal individual identification method based on sliced ​​bispectrum and wavelet transform that can overcome the deficiency that the existing intra-class modulation identification method requires high signal signal-to-noise ratio

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  • Individual identification method of FSK (frequency-shift keying) signal based on slice bi-spectrum and wavelet transformation
  • Individual identification method of FSK (frequency-shift keying) signal based on slice bi-spectrum and wavelet transformation
  • Individual identification method of FSK (frequency-shift keying) signal based on slice bi-spectrum and wavelet transformation

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Embodiment Construction

[0053] The present invention is described in more detail below in conjunction with accompanying drawing example:

[0054] combine Figure 1~1 0, the analytical expression of the FSK signal is:

[0055] x ( t ) = s ( t ) + n ( t ) = s ~ ( t ) e j ( 2 π f 0 t + θ 0 ) + n ( t ) - - - ( 1 ...

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Abstract

The aim of the invention is to provide an individual identification method of an FSK (frequency-shift keying) signal based on slice bi-spectrum and wavelet transformation. The method comprises the following steps: carrying out bi-spectrum and slice bi-spectrum analysis on the received signal to obtain a spectrogram of the slice bi-spectrum of the signal; respectively building envelope parameter characteristic databases under different signal to noise ratios; carrying out wavelet transformation on the received signal, and extracting a mean value of low-frequency wavelet coefficients; simultaneously building characteristic databases of 4FSK signals of different M numbers and different modulation parameters under different signal to noise ratios; fusing the slice bi-spectrum envelope parameter characteristics and the low-frequency wavelet coefficients; identifying the modulation type of the FSK signal, and achieving individual identification of the 4FSK signals of different parameters by the same signal processing process. According to the individual identification method, the defects of high requirements on the signal to noise ratios of the existing class modulation identification method can be overcome, and individual identification on the FSK signal is carried out in real time under the conditions of low signal to noise ratio and less priori knowledge.

Description

technical field [0001] The invention relates to a signal identification method in the technical field of communication signal processing. Background technique [0002] Modulation pattern recognition of communication signals is a very important research and application hotspot in the field of non-cooperative communication. With the development of digital signal processing technology, the field of non-cooperative communication puts forward more requirements for signal modulation pattern recognition, that is, under the condition of low signal-to-noise ratio, with less prior knowledge, the signal modulation pattern and the same Individual identification of modulation type signals. FSK signal is widely used in the field of radar and communication. It has multiple carrier frequency information, and it is particularly important to identify the individual FSK signal. [0003] Experts and scholars at home and abroad have done a lot of research work on the modulation recognition of ...

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Application Information

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IPC IPC(8): H04L27/00
Inventor 李一兵葛娟林云叶方李靖超李一晨李燕
Owner 三亚哈尔滨工程大学南海创新发展基地
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