System identification (2nd ed.): theory for the user
System identification (2nd ed.): theory for the user
A new adaptive constrained LMS time delay estimation algorithm
Signal Processing
Linear System Theory and Design
Linear System Theory and Design
A new algorithm for explicit adaptation of time delay
IEEE Transactions on Signal Processing
Adaptive time-delay estimation in nonstationary signal and/or noisepower environments
IEEE Transactions on Signal Processing
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This paper proposes a method for estimating multiple input delays in systems described by discrete-time state-space models. The proposed method is based on the minimization of a quadratic cost function related to the prediction error of the state variables over a given time frame. It is assumed that the system inputs are known and that noisy measurements of the states are available. The statistical properties of the resulting estimate are used to determine the delay values that are consistent with the observations at a given significance level. Simulation experiments are presented for illustration. As expected, the actual error rate is found to be consistent with the significance level employed in the estimation procedure. The relation between the precision of the estimation and the noise level is also investigated.