Abstract
Wigner-Ville distribution (WVD) time-frequency analysis method has an advantage on time-frequency resolution characteristic. However, the method has deficiency on cross term interference and cannot accurately reflect the time-frequency distribution characteristic of signals when analyzing multi-component signals, which limits the practicability of the method. Due to this reason, this thesis proposes the method on high-resolution time-frequency analysis, which combines of smoothed pseudo Wigner-Ville distribution (SPWVD) and WVD by applying SPWVD that has no cross term interference. The algorithm initially binarizes the result of SPWVD signal to be analyzed, then performs matrix operation with the WVD result, and suppress the cross term interference by utilizing the filtering mutual cancellation effect between them, which realizes a satisfied time-frequency analysis results finally. The experimental result shows that the proposed method can effectively remove the cross term interference of multi-component signal, improve the time-frequency aggregation of signal analysis result, restore the real time-frequency distribution of multi-component signal.
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