Reliability-based weighted collaboration spectrum detection method

Abstract

The invention relates to a reliability-based weighted collaboration spectrum detection method. The main steps are that each sensor node detects a local spectrum and gains respective local spectrum sensing reliability of the local spectrum sensing by making a comparison with an overall detection result. A threshold of the reliability can be calculated through a tail-cut average method by a fusion center which chooses a sensor node with the reliability greater than the threshold is chosen to participate in cooperation. The reliability of the sensor node is greater than the threshold. The reliability of the sensor node which is screened out is dealt in a normalization mode in order to gain a weighting coefficient of the sensor node in the cooperation. After the fusion center detects statistics and carried out weighting summation process on the node which participates in the cooperation, a result is compared with a judgment threshold of a system and judge whether a master user is occupying a frequency spectrum is occupied by a master user is judged. The reliability of the sensor node is updated after each detection process in order to prepare the next detection process. The method has the advantages of reducing effectively the complexity of the cooperation detection of a cognitive network, improving the performance of the spectrum detection and being equipped with a good robustness in a noise-fluctuation environment.

Description

technical field [0001] The invention relates to wireless spectrum sensing and detection technology in the field of wireless communication, and more specifically relates to a weighted cooperative spectrum sensing and detection technology based on reliability in a wireless channel environment. Background technique [0002] With the rapid development of wireless communication technology, the contradiction between the increasing spectrum demand and the increasingly scarce spectrum resources is becoming more and more prominent. Studies have shown that the current utilization of spectrum resources is very uneven, and there are a large number of licensed frequency bands with low spectrum utilization. As a dynamic spectrum access technology, Cognitive Radio (CR) is recognized as one of the technical means to intelligently sense the spectrum environment and efficiently utilize the wireless spectrum, and has attracted widespread attention. The CR system requires cognitive users to pe...

AI Technical Summary

Problems solved by technology

However, traditional cooperative spectrum detection does not take into account the reliability of local spectrum detection results caused by factors such as channel and environment in the actual cognitive radio network.

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