Bayes compression broadband frequency spectrum detection method in cognitive radio network based on self-adaptive measurement
A cognitive wireless network and Bayesian compression technology, applied in transmission monitoring, electrical components, transmission systems, etc., can solve problems such as low utilization rate of licensed spectrum and waste of licensed spectrum holes
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[0080] Embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings.
[0081] figure 1 It is a flow chart of Bayesian compressed wideband spectrum detection method based on adaptive measurement in cognitive wireless network. This figure shows the specific implementation process of the Bayesian compression broadband spectrum detection method for adaptive measurement in the present invention. The method includes: N cognitive nodes in the cognitive wireless network perceive the spectrum of the primary user at time t, and calculate the difference vector between the sensing vector at time t and the time average vector Mapped to the wavelet base for sparse transformation, the wavelet base is the fourth-order Daubechies compact support orthogonal wavelet (db4), the wavelet has a 4th-order vanishing moment, and the number of Mallat decomposition layers is 6. The perception vector obtains the initial observation vector y at ti...
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