Design And Simulation Of Multi-antenna Graph Transmission Receiving System For UAV

In this paper,an improved wireless diversity receiving algorithm,namely adaptive generalized selection combining algorithm based on signal-to-noise ratio sorting,is proposed to solve the difficult problems of UAV air-to-ground longdistance transmission,including signal fading and multipath effect,etc.,using multiantenna receiving method,and a simulation and verification model of UAV air-toground high-definition video transmission is established.The simulation results show that the proposed algorithm is more flexible than the traditional MRC combining algorithm in the signal transmission of UAV to ground with a distance of 100 kilometers.It can meet certain symbol error rate performance and effectively save the average estimated number of branches and the average combining number of branches,thus saving the power consumption,processing time and complexity of the system.It has better adaptability to the channel with random change,and can be used in the video transmission system with high reliability and high speed in the long distance of UAV air-to-ground multi-antenna receiving system.The content of each chapter of this paper is arranged as follows:The first chapter is the introduction,which mainly introduces the background of the topic selection,the research status and significance of diversity combining technology at home and abroad,and the main research content and innovation points of the paper.In the second chapter,the communication channel of UAV is introduced,and the channel model of Rayleigh distribution and Rice distribution is introduced and simulated.The third chapter introduces the wireless diversity combining receiving technology,including several traditional combining technology and hybrid combining technology,which is an important theoretical basis for the follow-up research.The fourth chapter is the optimization design of A-GSC algorithm for multiantenna diversity reception.The proposed A-GSC algorithm based on signal-to-noise ratio sorting is applied to the communication system model,and the performance of the algorithm is analyzed by comparing the algorithm with some other combining algorithms,and the conclusion is drawn after analysis and comparison.In the fifth chapter,the A-GSC algorithm based on signal-to-noise ratio sorting is simulated and verified for the application scenarios of UAV long-distance video transmission.The simulation system model is established in the Matlab integrated development platform,and the algorithm is used in the model,and compared with the existing typical algorithms,thus verifying the advantages of the algorithm.In addition,a visual and interactive interface is established to make the system model and data receiving effect more intuitive.The sixth chapter summarizes the whole paper and points out the direction of further research.