铁道标准设计Issue(1)：128-130,131,4.DOI:10.13238/j.issn.1004-2954.2016.01.028
基于铁路无线通信环境下改进的PSO算法在多用户检测中的应用
Application of Improved Particle Swarm Optimization Algorithm to Multi-user Detection Based on Railway Wireless Communication Environment
摘要
Abstract
With the rapid development of railway wireless communication, more rigorous requirements for anti-interference ability of the communication system devices are put forward. Therefore, it is necessary to study the effective anti-jamming technology to deal with the growing threat of interference. Quantum mechanics and classical mechanics are used in particle swarm optimization algorithm and quantum discrete particle swarm algorithm is applied to multi-user detection. In the wireless railway communication system, it improves the quality of the channel, reduce bit error rate, and solve the problem of high bit error rate in high data communication between the train and the dispatch command center, and proves superior to traditional detectors in terms of anti multiple access interference.关键词
铁路无线通信/多用户检测/粒子群算法Key words
Railway wireless communication/Multi-user detection/Particle swarm optimization分类
交通工程引用本文复制引用
刘子轶,张荣新,郭景武..基于铁路无线通信环境下改进的PSO算法在多用户检测中的应用[J].铁道标准设计,2016,(1):128-130,131,4.基金项目
天津市基础研究计划资助项目(14JCTPJC00553) （14JCTPJC00553）
