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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

Inactive Publication Date: 2012-12-19
HANGZHOU DIANZI UNIV
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Problems solved by technology

However, spectrum measurement studies have shown that the utilization rate of the licensed spectrum is very low, resulting in a serious waste of licensed spectrum holes

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  • Bayes compression broadband frequency spectrum detection method in cognitive radio network based on self-adaptive measurement
  • Bayes compression broadband frequency spectrum detection method in cognitive radio network based on self-adaptive measurement
  • Bayes compression broadband frequency spectrum detection method in cognitive radio network based on self-adaptive measurement

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Embodiment Construction

[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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Abstract

The invention discloses a Bayes compression broadband frequency spectrum detection method in a cognitive radio network based on self-adaptive measurement. The Bayes compression broadband frequency spectrum detection method comprises the following steps of mapping perception data to a wavelet basis for sparse transformation according to a space-time relevance structure of a non-stable signal which is actually perceived by a large amount of cognitive nodes, selecting a maximum energy subset as a measurement matrix row vector through calculating an energy subset of a wavelet domain signal, orthogonally forming a measurement matrix for the measurement matrix row vector, forming the self-adaptive measurement, and enabling the restricted isometry property to be met by the self-adaptive measurement; and carrying out reconfiguration recovery and broadband frequency spectrum detection on the broadband frequency spectrum perceived by a cognitive user by a cognitive base station through a related vector machine model in a Bayes regression model. A result shows that compared with an orthogonal matching pursuit reconfiguration algorithm, the Bayes compression broadband frequency spectrum detection combined with the self-adaptive measurement has a better detection performance and has actual application value for the broadband frequency spectrum perception and the sparse reconfiguration of the perception signal when multiple cognitive nodes exist in the cognitive radio network.

Description

technical field [0001] The invention belongs to the technical field of information and communication engineering, and relates to a cognitive radio (Cognitive Radio, CR) technology in a wireless communication system and a Bayesian compressed sensing theory in signal processing, in particular to a cognitive wireless network based on an adaptive Measured Bayesian compressed wideband spectral detection method. Background technique [0002] At present, due to the continuous growth of various wireless communication service demands, the wireless communication system has continuously increased demands on spectrum resources, thus making wireless spectrum resources increasingly scarce. However, spectrum measurement studies show that the utilization rate of the licensed spectrum is very low, resulting in serious waste of licensed spectrum holes. In order to develop a wireless communication system with spectrum resource sharing and improve the utilization efficiency of spectrum resourc...

Claims

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Application Information

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IPC IPC(8): H04B17/00H04B17/309H04B17/382
Inventor 许晓荣包建荣姜斌陆宇骆懿
Owner HANGZHOU DIANZI UNIV
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