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Research and implementation of system identification based on adaptive filter

  • 2013-09-22
  • 294.18KB
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Adaptive system identification is an important method that uses an adaptive filter to build a model by measuring the output signal of the system. This paper discusses the implementation principle of adaptive FIR filtering algorithm based on LMS algorithm, and its application in system identification. And through computer simulation, its implementation method on fixed-point DSP is elaborated in detail. Keywords: adaptive filter; system identification; DSPAbstract: Adaptive system identification is a technique that uses an adaptive filter for a model. The basic idea is to measure the signals produced by the system and to use them to construct a model. This paper introduces the theory of LMS adaptive FIR filtering algorithm. Its application on system identification is described. All of these are confirmed by the computer simulation, and its steps on Fixed-point DSP are presented.Key words: adaptive filter; system identification; DSP

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