Study of time-frequency analysis methods of TWACS outbound signal
نویسنده
چکیده
In this paper, some time-frequency analysis methods were studied to get the detailed characteristics of two-way automatic communication system (TWACS) outbound signal sampled from industry power network with high disturbance, . Compared with traditional time-domain detecting algorithm, time-frequency analysis methods, including short-time Fourier transform (STFT)), Wigner distribution (WD) and complex wavelet transform (CWT), could extract the characteristics from time-domain and frequency-domain of the signal analyzed, which significantly improves the detecting accuracy of modulated signal with strong noise. Principle and algorithm of each time-frequency analysis method were stated. Then these methods were employed to analyze the outbound signal of TWACS sampled from industry power network. Simulation results and theoretical analysis demonstrated that complex wavelet seemed the best time-frequency analysis method of detecting the outbound signal of TWACS with the advantages of high accuracy and low calculated quantity.
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