The Journal of the Acoustical Society of Korea

한국음향학회 (The Acoustical Society of Korea)
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Adaptive System Identification Using an Efficient Recursive Total Least Squares Algorithm

  • Choi, Nakjin (School of Electrical Engineering, Seoul National University) ;
  • Lim, Jun-Seok (Department of Electronics Engineering, Sejong University) ;
  • Song, Joon-Il (School of Electrical Engineering, Seoul National University) ;
  • Sung, Koeng-Mo (School of Electrical Engineering, Seoul National University)
  • 발행 : 2003.09.01
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초록

We present a recursive total least squares (RTLS) algorithm for adaptive system identification. So far, recursive least squares (RLS) has been successfully applied in solving adaptive system identification problem. But, when input data contain additive noise, the results from RLS could be biased. Such biased results can be avoided by using the recursive total least squares (RTLS) algorithm. The RTLS algorithm described in this paper gives better performance than RLS algorithm over a wide range of SNRs and involves approximately the same computational complexity of O(N²).

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참고문헌

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