CHENG Xue-zhen, XU Jing-dong, WEI A-ying, PANG Ming-xiang
(College of Information and Electrical Engineering, Shandong University of Science and Technology, Qingdao 266590, China)
Abstract： In view of the problem that noises are prone to be mixed in the signals, an adaptive signal de-noising system based on reursive least squares (RLS) algorithm is introduced. The principle of adaptive filtering and the process flow of RLS algorithm are described. Through example simulation, simulation figures of the adaptive de-noising system are obtained. By analysis and comparison, it can be proved that RLS adaptive filtering is capable of eliminating the noises and obtaining useful signals in a relatively good manner. Therefore, the validity of this method and the rationality of this system are demonstrated.
Key words： de-noising； adaptive filtering； recursive least squares (RLS) algorithm
CLD number： TN911.7 Document code： A
Article ID： 1674-8042(2014)01-0032-05 doi： 10.3969/j.issn.1674-8042.2014.01.007
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RLS 自适应滤波在信号消噪中的应用
程学珍, 徐景东, 卫阿盈, 逄明祥
(山东科学大学 信息与电气工程学院， 山东 青岛 266590)
摘要:针对信号中混有噪声的问题， 介绍了一种基于 RLS 算法的自适应信号消噪系统， 并阐述了自适应滤波的原理以及 RLS 算法的步骤与流程。 通过实例仿真， 得到了基于 RLS 算法的自适应消噪系统仿真图。 经过对比分析可知， RLS 自适应滤波能较好地消除噪声， 获得有用信号， 从而验证了该方法的有效性和系统的合理性。
关键词:消噪； 自适应滤波； 递推最小二乘法(RLS)
引用格式：CHENG Xue-zhen, XU Jing-dong, WEI A-ying, et al. Application of RLS adaptive filtering in signal de-noising. Journal of Measurement Science and Instrumentation, 2014, 5(1): 32-36. [doi: 10.3969/j.issn.1674-8042.2014.01.007]
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