A joint signal classification method based on Hilbert-Huang transform and wavelet ridge
A technology of wavelet ridges and classification methods, applied in character and pattern recognition, instruments, calculations, etc., can solve problems such as lack of physical meaning, distortion of signal analysis results, etc.
Active Publication Date: 2021-12-07
NORTHWESTERN POLYTECHNICAL UNIV
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At present, most of the typical traditional time-frequency analysis methods are based on Fourier transform, using pre-selected sine-cosine basis functions to synthesize the original signal. The wave component synthesizes the original signal, so that a lot of frequency information that does not exist in the real system appears in the spectrum analysis, which leads to serious distortion of the signal analysis results
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[0033] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.
[0034] Aiming at the classification problem of digital communication signals, the invention proposes a joint classification method of digital communication signals based on Hilbert-Huang transform and wavelet ridge. First, EMD decomposition is applied to the unknown digital communication signal by empirical mode decomposition, and then the IMF component of the signal is Hilbert transformed to obtain the Hilbert spectrum of the signal, and the frequency modulation signal (2FSK, 4FSK, LFM) is identified by the Hilbert spectrum; Then use HHT to find the instantaneous phase diagram of the non-frequency modulation signal (ASK, QAM, PSK), and the ASK signal can be identified; then use HHT to find the instantaneous amplitude diagram of the signal for the ASK signal, and can distinguish 2ASK and 4ASK; then use HHT to find the QAM signal The instantaneous amplit...
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The present invention provides a signal joint classification method based on Hilbert-Huang transform and wavelet ridge line, which uses empirical mode decomposition to decompose the received signal, and performs Hilbert transform on each IMF component of the signal, and any An IMF component and its corresponding Hilbert transform form an analytical signal, distinguish frequency modulation signal and non-frequency modulation signal according to the Hilbert spectrum of the signal, use the instantaneous phase diagram of the digital signal to identify the ASK signal, and use continuous wavelet analysis to draw the PSK signal Based on the wavelet baseline map, the PSK signal is classified using the wavelet ridge map. The invention utilizes the excellent adaptability of HHT to various digital communication signals, extracts the instantaneous frequency, instantaneous phase, and instantaneous amplitude information of the non-phase modulation signal, and uses wavelet ridges to extract the phase change information of the phase modulation signal, overcoming the The single HHT method cannot effectively classify the shortcomings of phase modulation signals, and finally completes the classification of 9 common digital communication signals.
Description
technical field [0001] The invention relates to the field of digital signal processing, in particular to a signal joint classification method. Background technique [0002] In the field of digital signal processing, the first mature signal processing method developed is the Fourier transform. It is a pure frequency domain analysis method based on global transformation, which is very effective for the analysis of stationary signals, but it is powerless for the analysis of non-stationary signals. At present, most of the typical traditional time-frequency analysis methods are based on Fourier transform, using pre-selected sine-cosine basis functions to synthesize the original signal. The original signal is synthesized by the wave component, so that a lot of frequency information that does not exist in the real system appears in the spectrum analysis, which leads to serious distortion of the signal analysis results. [0003] As a new adaptive time-frequency analysis method, Hi...
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IPC IPC(8): G06K9/00
CPCG06F2218/12
Inventor 高颖李启凡郭淑霞王子道闫彬舟汪静邵群
Owner NORTHWESTERN POLYTECHNICAL UNIV