Research On Cooperative Spectrum Sensing Based On TD-LTE Power Wireless Private Network

With the introduction of the concept of Global Energy Interconnection,the demand for communication network in power industry is getting stronger and stronger.As an important supplementary means of power communication network,power wireless private network has also become an important issue in current research.The development of power wireless private network also put forward higher requirements and more stringent standards for many wireless communication technologies involved.In order to achieve energy interconnection,the construction of power wireless private network is especially important.This paper conducts a corresponding research and analysis on the business requirements and the necessity of construction of power wireless private network,and carried out research and analysis on construction contents,technical support and policy support in the wireless power private network so as to provide a theoretical basis for the development of the wireless private network in the power industry.In order to achieve the rational use of spectrum resources in the power wireless private network,spectrum sensing technology is indispensable.In this paper,the double-threshold energy detection algorithm is used to realize the regional division of signal energy.Local decisions are made directly on the signal energy outside the double thresholds,instead of using the method of direct discarding the signal energy in the double thresholds,the D-S evidence theory algorithm is used to extract the trust function,this thesis uses the theory of evidence theory to construct the proposition to function,and constructs the trust distribution function by using the synthesis rules of D-S evidence theory.Finally,the final fusion decision of the local decision result and the trust distribution function is completed through the fusion criterion.In order to be more flexible to adapt to changing channel environment,this paper improves a dynamic double threshold adjustment algorithm,and uses the relationship between double threshold and signal to noise ratio to set the adjustment factor,under the premise of avoiding the frequent adjustment of the threshold value,different double thresholds under different SNRs are realized.When the channel condition is better,the distance between the thresholds is reduced,thus reducing the system computation;When the channel condition is poor,the distance between the thresholds is increased,which increases the chances of extracting the trust function to improve the detection performance of the system.The experimental results show that the proposed algorithm improves the system detection performance to some extent.