Research On Spectrum Sensing Algorithm Based On UAV

In the past decades,UAV technology has developed rapidly and played an important role in military,production and life fields.UAV is penetrating into many industries and affecting social production and human life.With the rapid development of mobile communication technology,the number and types of UAVs are increasing.The shortage of spectrum resources affects the further development of UAV technology.How to effectively alleviate the shortage of UAV frequency has become a problem of research value.This paper mainly focuses on the problem of UAV frequency utilization.Firstly,this paper analyzes the current situation of radio spectrum utilization,and indirectly points out the reasons for the shortage of UAV spectrum resources utilization.Based on the current situation of spectrum utilization,this paper finds an effective method to alleviate the frequency shortage cognitive radio technology.Spectrum sensing is the premise of realizing cognition in the core technology of cognitive radio.The research of spectrum sensing technology based on UAV is also the premise of alleviating the problem of UAV frequency utilization.Secondly,in the cognitive radio technology learning,the classical algorithm based on transmitter signal detection is mainly studied.The classical detection algorithms based on transmitter signal detection mainly include matched filter detection method,energy detection method,cyclostationary feature detection method and covariance blind detection method.Each detection method has its advantages and disadvantages,and has different application scenarios.It also introduces the basic theory of joint sensing,which is an important optimization direction of sensing algorithm.Finally,two spectrum sensing algorithms based on UAV are proposed.The first spectrum sensing algorithm based on SNR estimation is mainly to improve the sensing performance of single node in low noise environment.Based on the advantages and disadvantages of the basic detection algorithm,the algorithm chooses the two detection algorithms in the single detection cycle,and uses the high efficiency and cyclostationary features of energy detection to detect the anti noise advantages,which improves the detection performance of the system in low noise environment.The second joint detection algorithm,based on the improvement of single node sensing ability,further improves the overall detection performance.Using the characteristics of UAV air distribution,through joint detection,the perception difference caused by different space environment can be eliminated as far as possible.The algorithm mainly represents the situation of joint detection of two UAVs,and multiple UAVs are extended on the basis of dual UAVs.The above two algorithms are to improve the detection performance and improve the spectrum utilization.At the end of the paper,several directions of follow-up research are mentioned.There will be more and more research fields based on UAV.