Modified LMS Algorithm for Unbiased Impulse Response Estimation in Nonstationary Noise
نویسنده
چکیده
Indexing terms : adaptive algorithm, system identification Abstract : In the presence of input interference, the Wiener solution for impulse response estimation is biased. In this Letter, it is proved that bias removal can be achieved by proper scaling 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 condition.
منابع مشابه
Modiied Lms Algorithm for Unbiased Impulse Response Estimation in Nonstationary Noise
In the presence of input interference, the Wiener solution for impulse response estimation is biased. In this Letter, it is proved that bias removal can be achieved by proper scaling the optimal lter coeecients and a modiied least mean squares (LMS) algorithm is then developed for accurate system identiication in noise. Simulation results show that the proposed method outperforms two total leas...
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