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| 基于FPGA和符号LMS算法的自适应滤波器设计 | |
| 引用本文： | 邱陈辉,李锋,徐祖强.基于FPGA和符号LMS算法的自适应滤波器设计[J].电子器件,2014,37(5). |
| 作者姓名： | 邱陈辉 李锋 徐祖强 |
| 作者单位： | 江苏科技大学 |
| 基金项目： | 稀疏观测约束下基于压缩感知的水下目标方位估计研究 |
| 摘 要： | 为了减少实现基于FPGA和LMS算法的自适应滤波器过多消耗硬件资源的问题，提出了符号LMS算法，通过降低乘法运算的次数来提高自适应滤波器的运行速度，并使用流水线技术进行优化。软件仿真验证了符号LMS算法的可行性，硬件仿真证实了采用该算法和流水线技术的自适应滤波器的优越性。 |
| 关 键 词： | 数字信号处理 自适应滤波器 最小均方 符号最小均方 现场可编程门阵列 流水线 |
Design of Adaptive Filter based on FPGA and Signum-LMS Algorithm |
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| Abstract: | To decrease the consumption of hardware resource of adaptive filter based on FPGA and LMS algorithm, signum-LMS algorithm is proposed. The processing speed of adaptive filter is increased by reducing the number of multiplications and optimized by pipelining technology. Software simulation verifies the feasibility of signum-LMS algorithm. Hardware simulation proves the superiorities of the adaptive filter using the proposed algorithm and pipelining technology. |
| Keywords: | digital signal processing adaptive filter least mean square(LMS) signum-least mean square(SLMS) field programmable gate array (FPGA) pipelining |
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