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Cooperative spectrum sensing method based on likelihood ratio in cognitive radio

A technology of collaborative spectrum sensing and likelihood ratio, applied in the field of collaborative spectrum sensing based on likelihood ratio in cognitive radio, to achieve the effect of simple calculation, good detection performance and improved reliability

Inactive Publication Date: 2009-09-02
SOUTHEAST UNIV
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AI Technical Summary

Problems solved by technology

The present invention proposes that the local judgment of the cognitive node uses the maximum likelihood criterion, and this method effectively solves the problem of the credibility of the local judgment of the cognitive node when the signal-to-noise ratio is low

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  • Cooperative spectrum sensing method based on likelihood ratio in cognitive radio
  • Cooperative spectrum sensing method based on likelihood ratio in cognitive radio
  • Cooperative spectrum sensing method based on likelihood ratio in cognitive radio

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Embodiment Construction

[0018] The method includes two parts: local detection of cognitive nodes and data fusion of central nodes. Cognitive nodes use energy detection to make local judgments based on the maximum likelihood criterion for the energy detection values, so as to obtain local judgment results about authorized users, and use the likelihood ratio as a judgment credibility measure, and then each cognitive node takes the local The judgment result and the local likelihood ratio are quantified and sent to the central node, and the central node makes a collaborative judgment based on the results of each cognitive node.

[0019] 1 Local energy detection and judgment

[0020] Assuming that there are N cognitive nodes and a central node in the cognitive radio network, each cognitive node performs local detection independently, and the cognitive nodes send the local detection results to the central node through the control channel, and then the central node makes the final decision. The system oper...

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Abstract

A cooperative spectrum sensing method based on likelihood ratio in cognitive radio provides that local judgment of cognitive nodes uses the maximum likelihood criterion, and the method effectively solves the reliability problem of the local judgment of the cognitive nodes in low signal to noise ratio. The method comprises two parts, namely local detection of the cognitive nodes and judgment of a central node, wherein the cognitive nodes use energy detection, and perform the local judgment based on the maximum likelihood criterion on an energy detection value so as to obtain local judgment results related to an authorization user, and the likelihood ratio is taken as a measure of the judgment reliability; and the various cognitive nodes send the local judgment results and a quantized local likelihood ratio to the central node, and the central node performs the cooperative judgment according to the results of the various cognitive nodes.

Description

technical field [0001] The invention relates to a cooperative spectrum detection problem in a cognitive radio network, which belongs to the spectrum sensing technology in wireless communication based on cognitive radio. Background technique [0002] With the rapid development of wireless communication services, wireless spectrum resources are becoming increasingly scarce; on the other hand, spectrum resources are currently authorized and fixedly allocated, and the utilization rate is generally lower than 30%. It can be seen that the fixed allocation strategy of spectrum resources cannot effectively utilize spectrum resources. If dynamic access to spectrum resources is implemented, spectrum utilization can be improved. Cognitive Radio (CR) means that cognitive users (the Second Users) can find and use "spectrum holes" in the licensed frequency band without interfering with the work of authorized users (the Primary Users) to realize dynamic spectrum access. , in order to imp...

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Application Information

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IPC IPC(8): H04W24/00H04B17/00H04B17/382
Inventor 潘志文郭文婷尤肖虎
Owner SOUTHEAST UNIV
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