Modified LMS algorithm for unbiased impulse response estimation in nonstationary noise

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Original languageEnglish
Pages (from-to)791-792
Journal / PublicationElectronics Letters
Issue number10
Publication statusPublished - 13 May 1999


In the presence of input interference, the Wiener solution for impulse response estimation is biased. It is proved that bias removal can be achieved by proper scaling of the optimal filter coefficients and a modified least mean squares (LMS) algorithm is then developed for accurate system identification in noise. Simulation results show that the proposed method outperforms two total least squares (TLS) based adaptive algorithms under nonstationary interference conditions.