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自适应滤波RLS算法研究与DSP实现 被引量:6

Research to RLS Algorithm of Adaptive Filter and Its DSP Realization
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摘要 自适应滤波器一直是随机信号处理当中的一个重要的研究课题,可以不需要预先知道给定信号及噪声的自相关函数,它可以利用前一时刻已获得的滤波器参数自动地调节现时刻的滤波器参数,从而实现最佳滤波。研究了自适应滤波器的基本结构和自适应滤波递推最小二乘(RLS)算法在DSP上的实现,采用定点TMS320VC5416 DSP为平台,通过C语言设计了一个RLS算法的16阶自适应滤波器,在CCS环境下进行仿真结果查看,并通过与MATLAB进行仿真比较。实验结果表明,该滤波器有效、性能良好,实现了较好的滤波功能,在数字信号处理领域有很好的应用价值。 Adaptive filtering algorithm always becomes one of the important research topics in the processing of random signal.It is unnecessary to know the self-related function about signal and the noise in the adaptive filter in advance, for it can adjust the filter parameter at current time by using the past parameter to work at its best performance.On the basis of research on the structure of adaptive filter and the basic principles of recursive least square(RLS) algorithm realize on the DSP,and a sixteenth order RLS adaptive filter which is designed in C language on the platform of TMS320VC5416 fixed-point DSP, and the RLS algorithm's simulation results is compared with the software of MATLAB.The simulation results show that the adaptive filter is valid,achieves a better filtering,and has good application value in the field of digital signal processing.
出处 《计算机技术与发展》 2010年第10期35-38,共4页 Computer Technology and Development
基金 国家自然科学基金资助项目(20927004) 西北师范大学科技创新工程资助项目(NWNU-KJCXGC-03-24)
关键词 自适应滤波器 递推最小二乘算法 数字信号处理 adaptive filter recursive least square algorithm digital signal processing
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