High-Precision Time Delay Estimation Based on Closed-Form Offset Compensation

To improve the estimation accuracy, a novel time delay (TDE) method based on closed-form offset compensation is proposed. Firstly, we use generalized cross-correlation with phase transform (GCC-PHAT) to obtain initial TDE. Secondly, signal model using normalized cross spectrum established, and noise subspace extracted by eigenvalue decomposition (EVD) of covariance matrix. Using orthogonal relation between steering vector subspace, first-order Taylor expansion carried out reconstructed Finally, offsets are compensated via simple least squares (LS). Compared other state-of-the-art methods, proposed significantly reduces computational complexity achieves better performance. Experiments both simulation real-world data verify efficiency approach.