Adaptive Modeling by Determination Algorithm of Optimal Time-varying Convergence Factor

최적한 시변 수렴인자 결정법에 의한 적응 모델링

  • Ahn, Doo-Soo (Dept. of Electrical Eng., Sung Kyun Kwan Univ.) ;
  • Kim, Jong-Boo (Dept. of Electronic Eng., In Duk Institude of Design.) ;
  • Kim, Jae-Il (Dept. of Computer Science, Dong Eui Technical College.) ;
  • Yim, Kook-Hyun (Research & Development Center, Tae San Precision Co.)
  • 안두수 (성균관대학교 전기공학과) ;
  • 김종부 (인덕전문대학 전자과) ;
  • 김재일 (동의공업전문대학 전산과) ;
  • 임국현 ((주)태산정밀 기술연구소)
  • Published : 1992.07.23

Abstract

This Paper presents an algorithm for improvement of convergence in Adaptive Filter. The proposed algorithm employes the time-varying Convergence Factor to Block LMS adaptation algorithm. Computer simulation for Adaptive Modeling of time-invarying and time-varying unknown systems has been performed. Performance comparisons between LMS, BLMS algorithms which have fixed Convergence factors obtained by trial and error and the proposed algorithm which has time-varying Convergence Factor show that the proposed algorithm is superior to LMS and BLMS algorithm with respect to speed and accuracy of adaptation.

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