Adaptive LMS Filter for Noise Cancellation Based on FPGA

摘要：

This paper presents a low power design of adaptive LMS (Least-Mean-Square) filter, using an 8-bit fixed-point arithmetic representation, for noise cancellation based on FPGA. The design has been synthesized and simulated in Xiiinx ISE. LMS algorithm is widely used in the adaptive filter for noise cancellation system or hearing aid system. We determined the step size parameter u, through simulated the LMS algorithm on MATLAB. After this work, we implemented and simulated the traditional LMS circuit and the proposed LMS circuit in Xilinx ISE. We found that the proposed circuit uses less resource than the traditional circuit. Using the XPower Analyzer tool, the power consumption is reported. The results show that the proposed circuit dissipates less power than the traditional circuit. It nearly economizes 43％ power consumption compared with the traditional one.

关键词： Adaptive LMS Filter Low Power Consumption Noise Cancellation Hearing Aids FPGA

作者: Wang Shenming Wannarat Suntiamorntut Nattha Jindapetch

作者单位: Computer Engineering Prince of Songkla University Songkhla 90112 Thailand Electrical Engineering Prince of Songkla University Songkhla 90112 Thailand

会议类型: 国际会议

会议名称: 2010 4th International Conference on Intelligent Information Techonlogy Application(第四届智能信息技术应用国际学术研讨会 IITA 2010)

会议地点: 秦皇岛

会议语种:英文

页码: 1-4

在线出版日期: 2010-11-05（万方平台首次上网日期，不代表论文的发表时间）