基于并行技术和流水线的LMS自适应滤波算法  

LMS Adaptive Filter Algorithm Based on Parallelism and Pipeline

作　　者：杜秀丽[1,2] 江焕承 陈波[1,2] 邱少明[1,2] Du Xiuli Jiang Huancheng Chen Bo Qiu Shaoming(Key Laboratory of Communication and Network, Dalian University, Dalian, 116622, China College of Information Eng neering, Dalian University, Dalian, 116622, China)

机构地区：[1]大连大学通信与网络重点实验室,大连116622 [2]大连大学信息工程学院,大连116622

出　　处：《数据采集与处理》2017年第2期314-320,共7页Journal of Data Acquisition and Processing

基　　金：国家高技术研究发展计划("八六三"计划)(2014AAXX10E)资助项目;辽宁省教育厅科学技术研究项目(L2014495)资助项目

摘　　要：针对现有自适应滤波算法中数据处理效率低的问题,提出了基于并行技术和流水线的最小均方误差(Least mean square,LMS)自适应滤波算法。该算法构建基于并行技术的多输入多输出滤波器结构,成倍提高系统滤波处理速度;设计基于流水线的LMS自适应滤波权系数求解方法,有效改善了权系数计算效率。最后利用现场可编程门阵列(Field programmable gate array,FPGA)对该算法进行了验证,结果表明,对于四级并行流水线四阶LMS自适应滤波器,其数据处理速率提高了约8倍,在相同的数据处理速率下,其功耗可降低约84%,从而提高了LMS自适应滤波处理速率,降低了系统功耗,实现了高速、超高速数据流的实时自适应滤波处理。To increase low efficiency of handling high-speed data in existing adaptive filter algorithms,an least mean squarse（LMS）adaptive filter algorithm based on parallel technology and pipeline is proposed.The proposed algorithm accelerates data processing speed to improve the speed of weight coefficient computing significantly,and reduces the critical path to improve the system working clock effectively.In the experiment based on FPGA,for the LMS adaptive filter based on 4-channel parallel structure and 4-stage pipelines,its data processing rate increases by eight times,and the power consumption can be reduced to16%,with the same rate of data processing.It can thus realize the real-time LMS adaptive filtering process of high-speed or hyper-speed data stream.

关 键 词：自适应滤波 并行技术 最小均方误差 流水线 

分 类 号：TP274.2[自动化与计算机技术—检测技术与自动化装置]