流水线DNLMS自适应滤波器的可配置硬件实现

R. Lee, Mohammed A. S. Khalid, E. Abdel-Raheem
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引用次数: 0

摘要

延迟归一化最小均方(DNLMS)自适应滤波算法适用于实现流水线架构。虽然以前的文献已经为DNLMS自适应滤波器提供了这样的架构,但没有一个给出详细的实现。本文提出了一种流水线、模块化、低延迟、便携式DNLMS自适应滤波器的可配置硬件实现,并对其进行了回波消除测试。该设计在Altera Stratix FPGA上实现,最大工作频率为32.27 MHz。设计方法包括体系结构推导、定点和RTL模拟、物理综合和实时硬件。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Configurable hardware implementation of a pipelined DNLMS adaptive filter
The delayed normalized least-mean-square (DNLMS) adaptive filtering algorithm is suitable for implementing pipelined architectures. Though previous literature has provided such architectures for DNLMS adaptive filters, none have given a detailed implementation. This paper presents the configurable hardware implementation of a pipelined, modular, low-latency, portable DNLMS adaptive filter which is tested for echo cancellation. The design is implemented onto the Altera Stratix FPGA and has a maximum operating frequency of 32.27 MHz. The design methodology consists of architectural derivation, fixed-point and RTL simulations, physical synthesis, and real-time hardware.
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