Self-adaptive time-frequency hole detection method based on wavelet transformation
A wavelet transform and detection method technology, applied in transmission monitoring, electrical components, transmission systems, etc., can solve problems such as limited signal correlation, long time intervals, and difficulty in estimating the time domain characteristics of idle spectrum, so as to reduce access opportunities loss effect
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[0080] The present invention is described in further detail below in conjunction with accompanying drawing:
[0081] The realization of time-frequency cavitation adaptive detection method based on wavelet transform can be divided into the following four steps,
[0082] as shown in picture 2:
[0083] The first step: signal filtering and sampling;
[0084] (1) Continuous sampling of the time domain signal;
[0085] (2) According to the cognitive user sampling bandwidth (intercepting frequency bandwidth), decide whether to use wavelet packet decomposition for the time-domain sampling signal.
[0086] Step 2: Time-domain Adaptive Segmentation of the Filtered Signal
[0087] (1) Sampling the time-domain signal (or the time-domain signal through wavelet packet decomposition) according to formula (2) to find the moving average power of the signal;
[0088] (2) Adopting the first-order derivative of a certain smooth function as a wavelet function, carrying out multi-scale wavelet...
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