Research On Spectrum Sensing Based On DPX

With the rapid development of wireless communication technology and the surge of the wireless terminal equipment,the demand for wireless spectrum resources increasing.At present,Wireless spectrum allocation is mostly fixed distribution.On the one hand,this will lead to somefrequency bands are rarely used,while other frequency bands is not enough.It's a waste of spectrum resources.On the other hand,This distribution for new business and new technology spectrum resources are also very few.The concept of cognitive radio is proposed,and its dynamic spectrum access is considered to be an effective way to solve the current shortage of spectrum resources.At present,spectrum sensing methods include energy detection,matched filter detection,and cycle feature detection.The research status of related fields is reviewed,which mainly includes the concept of cognitive radio,some of the more common spectrum sensing methods and the principle of digital phosphor spectrum technology.Then digital phosphor spectrum technology is introduced into the cognitive radio.A new energy detection spectrum sensing method is proposed,which called digital phosphor spectrum(DPX)sensing method:Firstly,DPX spectrumsensing method is proposed,which is based on the genetic algorithm to optimize the weights.The method based on the statistical characteristics of digital phosphor spectrum of each frequency point,the weights is arrangedfor each of the statistical features,which are optimized by genetic algorithm,andDPX spectrum sensing is realized.Secondly,DPX spectrum sensing method is proposed,which is based on theGaussian distribution.The characteristics of time domain and spectrum feature of the Gaussian white noise is studied.Because the Fourier transform is a linear transform and Gaussian white noise is a stationary random signal,according to the input of the linear system(Fourier transform)characteristics and digital phosphor spectral characteristics,combined with the central limit theorem,we obtain each frequency point signal distribution characteristics and the relationship between the frequency.And above properties is used to achieve the DPX spectrum sensing.Thirdly,the MATLAB is used to design a software for generating digital phosphor spectrum data,and the simulation experiments are carried out on the above two algorithms.Then,we compares the traditional perception algorithm,the conclusion that the detection probabilityis better than that of the traditional sensing algorithm is obtained.