基于单阶LMS的自适应系统辨识在altera cyclone II FPGA上的设计与实现

P. Dash, S. S. Pujari, Yougajyoty Sahoo
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引用次数: 5

摘要

识别是一个真实的事实,类似于任何类型的系统,无论是控制系统、计算系统还是通信系统。系统识别是建立系统数学模型的一个领域,它有助于对未知系统的建模和识别。本文在ALTERA QUARTUS II开发平台上设计和合成了基于LMS算法的自适应系统辨识系统,并在CYCLONE II EP2C35F672C8 FPGA上实现。基于乘法器和加法器的自适应滤波器结构是为了实现有限脉冲响应(FIR)的MAC运算。基于输入信号,采用最小均方算法自动调整自适应滤波器的系数。因此,自适应滤波器在系统辨识中显得尤为重要。本设计还利用基于模型的设计方法,结合Xilinx System Generator实现了自适应系统辨识的应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Design and implementation of single order LMS based adaptive system identification on altera based cyclone II FPGA
Identification is a genuine fact that resembles in any kind of systems, whether it may be a control, compute or communication systems. System identification is a proposed area that establish the mathematical model of the system which helps for modeling and identification of an unknown system. This paper is focused on design and synthesis of Adaptive System Identification based on LMS algorithm with ALTERA QUARTUS II development platform and implemented on CYCLONE II EP2C35F672C8 Field Programming Gate Array (FPGA). Architecture of adaptive filter that is based on multiplier and adder is to realize the MAC operation of the Finite Impulse Response (FIR). The coefficients of the adaptive filter are adjusted automatically by Least Mean Square (LMS) algorithm based on input signals. For this cause adaptive filter is more important for system identification. The design is also experienced in Model based Design approach with the help of Xilinx System Generator for the application of Adaptive System Identification.
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