Noisy input-output system identification approach for time delay estimation

Authors:
H. C. So
Affiliations:
Department of Computer Engineering & Information Technology, City University of Hong Kong, Tat Chee Avenue, Kowloon, Hong Kong
Venue:
Signal Processing
Year:
2002

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Abstract

An unbiased impulse response estimation approach is applied to time delay estimation between noisy signals received at two spacially separated sensors. The estimated delay is modeled by an adaptive finite impulse response filter whose coefficients are updated according to a modified least mean square (LMS) scheme. Simulation results show that the proposed algorithm outperforms the conventional LMS time delay estimator for autoregressive signals as well as real speech data.