Frequency spectrum detection method based on partially observable Markov decision process model
A process model and spectrum detection technology, applied in transmission monitoring, electrical components, transmission systems, etc., can solve the problem that the spectrum prediction method cannot directly use the underwater communication system, so as to reduce the probability of data collision, improve the spectrum utilization rate and Effect
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[0022] The present invention will be further described now in conjunction with accompanying drawing.
[0023] A basic cognitive cycle in cognitive radio goes through three basic processes: 1) Spectrum sensing, whose role is to detect licensed frequency bands and find "blank" available spectrum resources; 2) Channel state estimation and capacity prediction, whose role It is to analyze the characteristics of the "blank" frequency band, estimate the change of the channel state and predict the capacity; 3) Spectrum management, the purpose is to select the appropriate "blank" frequency band according to the user's needs, and determine the transmission power and modulation method. The spectrum detection method of the present invention involves the first two stages of the cognitive cycle. On the basis of the spectrum sensing results, it conducts reasonable statistical analysis on the spectrum sensing results, and then predicts the channel usage status at a certain moment in the future...
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