A blind approach to Hammerstein model identification

  • Authors:
  • Er-Wei Bai;Minyue Fu

  • Affiliations:
  • Dept. of Electr. & Comput. Eng., Iowa Univ., Iowa City, IA;-

  • Venue:
  • IEEE Transactions on Signal Processing
  • Year:
  • 2002

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Abstract

This paper discusses the Hammerstein model identification using a blind approach. By fast sampling at the output, it is shown that identification of the linear part can be achieved based only on the output measurements that makes the Hammerstein model identification possible without knowing the structure of the nonlinearity and the internal variables