Research On Early Warning Method Of Wireless Ultraviolet Bee Swarm Avoidance

In the military field,drone clusters usually face complex combat environments such as stro ng electromagnetic interference and radio monitoring.In order to realize the secret and stable in termachine communication in the UAV cluster in a complex environment,the use of wireless ul traviolet light to reconstruct the intermachine communication network is increasingly valued by researchers.Before the use of wireless ultraviolet light to restore the internal communication n etwork of the drone cluster,the lack of shared information between aircraft will inevitably incre ase the probability of collisions between drones.In this paper,the UAV cluster equipped with wireless ultraviolet light equipment is used as an object to study the problem of collision betwe en drones.The specific research contents are as follows:(1)In response to the internal collision problem of UAV clusters equipped with wireless ult raviolet equipment,an algorithm for avoidance between wireless ultraviolet drones based on sin gle target trajectory prediction was studied.Utilizing the coverage characteristics of airborne wi reless ultraviolet equipment and the motion characteristics of drones,the enhanced vector field histogram algorithm is improved,and combined with the single target trajectory prediction algo rithm,the nearby drone trajectory can be predicted in the path planning,which provides more a ccurate position information for avoidance.The simulation results show that the local avoidanc e path of the improved algorithm is smoother and there is no obvious jitter,the total length of th e avoidance path in the two motion scenarios is reduced by approximately 3%,and the path pla nning time is reduced by approximately 20%.(2)In practical applications,drones in a drone cluster face the problem of collision preventi on between multiple drones.Therefore,how to achieve fast and accurate avoidance is an indisp ensable part of research in UAV cluster operations.The coverage model of airborne wireless ult raviolet equipmentwireless ultraviolet virtual fence model is proposed.The construction proces s of the multitarget motion model is summarized.A Gaussian mixture probability density filteri ng algorithm is designed to avoid evasion between wireless UAV drones which based on multit arget trajectory prediction.Developed a simulation experiment platform for local avoidance alg orithm based on target trajectory prediction.The simulation results show that compared with th e Gaussian mixed probability density filtering algorithm based on extended Kalman,the improv ed filtering algorithm has higher filtering accuracy and more accurate trajectory prediction.Co mpared with the original algorithm,Compared with the original algorithm,the improved avoida nce algorithm can achieve local avoidance of multiple dynamic targets.There is no local minim um,and the avoidance trajectory is relatively smoothIn summary,wireless ultraviolet light bee swarm avoidance warning method in this paper can achieve local evasion of a single dynamic target or multiple dynamic targets,and the path length is shorter,the time consumption is less,and the trajectory is smoother.