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Collaborative spectrum sensing vague fusion method based on clustering

A collaborative spectrum sensing and fuzzy fusion technology, applied in transmission monitoring, network planning, electrical components, etc.

Inactive Publication Date: 2014-04-30
HOHAI UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

There is a lack of analysis and discussion on how to solve distributed and large-scale cognitive wireless networks in current research technologies

Method used

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  • Collaborative spectrum sensing vague fusion method based on clustering
  • Collaborative spectrum sensing vague fusion method based on clustering
  • Collaborative spectrum sensing vague fusion method based on clustering

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Embodiment Construction

[0046] Below in conjunction with specific embodiment, further illustrate the present invention, should be understood that these embodiments are only used to illustrate the present invention and are not intended to limit the scope of the present invention, after having read the present invention, those skilled in the art will understand various equivalent forms of the present invention All modifications fall within the scope defined by the appended claims of the present application.

[0047] The present invention needs to adopt a clustering algorithm to realize clustering, and then realize cooperative spectrum sensing based on the clustering. In addition, due to the large number of cognitive users, the limited computing power of the fusion center, and the intelligent characteristics of cognitive wireless networks, it is necessary to study a low-complexity cooperative perception algorithm based on fuzzy comprehensive judgment, and design a linear weighted soft combining algorithm...

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Abstract

The invention discloses a collaborative spectrum sensing vague fusion method based on clustering. The collaborative sensing performance in the collaborative spectrum sensing technology can be improved based on the clustering. In addition, a linear weighting soft fusion algorithm based on the vague comprehensive judgment is designed at a fusion center end, and therefore the collaborative spectrum sensing of the cognitive wireless network is achieved. A clustering submodule and a soft fusion submodule are achieved through the vague clustering and a vague comprehensive judgment method, the intelligent cognitive function of the cognitive wireless network can be achieved, and meanwhile the operation complexity is reduced.

Description

technical field [0001] The invention mainly studies the cooperative spectrum sensing problem in the cognitive sensor network. First, the clustering method is used to realize the clustering process of cognitive nodes; then the data fusion process is realized between cluster members and cluster heads. Finally, the cluster head information is sent to the fusion center, and a linear weighted fusion method based on fuzzy matrix is ​​used to determine whether the primary user exists. The main goal of this collaborative spectrum sensing process is to detect whether the spectrum of the cognitive network is free and whether the frequency band can achieve spectrum access. Background technique [0002] Cognitive radio is a new concept in the field of wireless communication. In 1999, Dr. Joseph Mitola proposed the concept of cognitive radio (Cognitive Radio, CR). The core idea of ​​CR is to enable wireless communication devices to have the ability to discover "spectrum holes" and make...

Claims

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Application Information

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IPC IPC(8): H04W16/14H04B17/00H04B17/382
Inventor 郭洁顾燕杨力
Owner HOHAI UNIV
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