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Design and implementation of single order LMS based adaptive system identification on altera based cyclone II FPGA

机译:基于Altera的Cyclone II FPGA的基于单阶LMS的自适应系统识别的设计与实现

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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.
机译: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。系统识别是提议的领域,可以建立系统的数学模型,这有助于对未知系统进行建模和识别。本文重点研究基于ALTERA QUARTUS II开发平台的基于LMS算法的自适应系统识别的设计和综合,并在CYCLONE II EP2C35F672C8现场编程门阵列(FPGA)上实现。基于乘法器和加法器的自适应滤波器的体系结构是实现有限冲激响应(FIR)的MAC操作。自适应滤波器的系数根据输入信号通过最小均方(LMS)算法自动调整。因此,自适应滤波器对于系统识别更为重要。在Xilinx System Generator的帮助下,该模型在基于模型的设计方法中也很有经验,可用于自适应系统识别。

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