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公路隧道监控系统自适应滤波算法比较研究

Comparative Research on Self-adapting Filter Algorithm for Monitoring System in Highway Tunnel
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摘要 通过分析公路隧道监控系统的构成,探讨监控数据传输过程中干扰的来源。综合考虑监控数据的特征,选用LMS算法和RLS算法研究对隧道监控数据的自适应滤波,并采用MATLAB平台实现对含有噪声数据的滤波处理。比较这2种滤波算法的性能,得出RLS自适应滤波法更适合于隧道监测数据的滤波处理。 Based on analysis of composition of the monitoring system in highway tunnel,this paper probes into sources of interference during transmission of monitoring data.By comprehensively taking features of monitoring data into account,the paper investigates the self-adapting filter for tunnel monitor-ing data by means of LMS algorithm and RLS algorithm,and incorporates MATLAB platform to realize filter processing for data with noise.After comparison for performances of these two filter algorithms,the paper draws a conclusion that the RLS self-adapting filter algorithm is more applicable to filter processing for tunnel monitoring data.
作者 许可 李淑庆 刘龙廿
机构地区 重庆交通大学交通运输学院 重庆市交通运输工程重点实验室
出处 《公路交通技术》 2010年第4期120-123,共4页 Technology of Highway and Transport
关键词 自适应滤波器 LMS算法 RLS算法 隧道监控数据 干扰 self-adapting filter LMS algorithm RLS algorithm tunnel monitoring data interference
分类号 U459.2 [建筑科学—桥梁与隧道工程]
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公路交通技术
2010年 第4期

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