Research On Collaborative Spectrum Detection Method Based On The Trust Of Cognitive Users

With the rapid development of communication and information technology,a mass of spectrum resources have been took up by the related business of wireless communication.However,the spectrum allocation principle used by traditional wireless network is stationary,which directly results in the difficult satisfaction of growing needs for the wireless communications business.Cognitive Radio(CR)technology is able to actively learn the surrounding environment to judge the service condition of spectrum,and this idle authorized spectrum band could be used by means of opportunity accessing,so as to improve the utilization efficiency of spectrum.An important and crucial link for the cognitive radio technology is spectrum detection.In this paper,emphatically,the collaborative spectrum detection between multiple users was explored.Firstly,the development background,significance and research actuality of the cognitive radio technology were elaborated;The comparative research on spectrum detection algorithm for the typical and individual user was carried out,the detailed research contents included primary user detection transmitter end and primary user detection receiver end spectrum detection;In order to avoid the limitation of single node spectrum detection method,the collaborative spectrum detection algorithm and relevant data fusion rules were systematically studied.Secondly,a collaborative spectrum detection algorithm based on the trust of cognitive users was put forward to improve the detection performance in the third chapter,in allusion to the non-ideal detection effect resulting from the defect of traditional double threshold detection algorithm and the bad channel.On the basic of traditional double threshold and different trust of cognitive users,the error correction code technology for trust users was applied to improve the detection performance of system during transmission via using two and three bits codes.,afterwards,used different fusion rules.Finally,the fusion was performed by OR rule at Fusion Center(FC).The simulation results showed that this method effectively improved the detection performance and reliability of spectrum detection.Finally,a clustering collaborative spectrum detection scheme for the improvement of trust was proposed in view of the high bandwidth costs and unreliable judgment result from overmuch communication demands on the control channel in the fourth chapter.The adaptive double threshold detection method and the clustering collaborative detection method were combined,the subaltern trust region was divided averagely,and the classified coding in the trust and subaltern trust region was sent to the cluster head.The subaltern trust regions coding would be transformed into judgment result by the cluster heads,which was OR fused with the judgment information of trust users to obtain the intra-cluster judgment.This result was sent to the fusion center,so as to achieve a final judgment.The simulation analysis showed that this method could not only effectively improve the detection probability and reduce the communication demands on the control channel,but also cut down the consumption of system resources.