Resource Scheduling for HF Reception based on Improved Ant Colony Optimization Algorithm

摘要：

　　Because of the many and dense signals in high frequency(HF)band,the complex electromagnetic environment and relatively limited resources,the efficiency of HF reception is not high.To solve this problem,a resource scheduling method for HF reception based on improved ant colony optimization(ACO)algorithm was proposed to reach cooperative HF reception.The parameter values of the ant colony optimization algorithm was optimized based on particle swarm optimization(PSO)thought,the new pheromone update method was presented,which combines the global asynchronous feature and elitist strategy to avoid the defects of the optimization algorithm such as slowly to converge and easily to fall into local optimum.The simulation experiments showed that the algorithm mentioned is not only able to get an effective solution,but also can significantly improve the convergence speed.

关键词： HF reception cooperative reception resource scheduling ant colony optimization particle swarm optimization

作者: Yang Liu Lunwen Wang

作者单位: Research Division 404,Electronic Engineering Institute.Hefei,China Research Division 404,Electronic Engineering Institute Hefei,China

会议类型: 国际会议

会议名称: 2017 IEEE 2nd Advanced Information Technology,Electronic and Automation Control Conference(IAEAC 2017)(2017 IEEE 第2届先进信息技术、电子与自动化控制国际会议)

会议地点: 重庆

会议语种:英文

页码: 2266-2270

在线出版日期: 2017-03-25（万方平台首次上网日期，不代表论文的发表时间）