Multipath time-delay estimation is commonly encountered in radar and sonar signal processing. In some real-life environments, impulse noise ubiquitous significantly degrades performance. Here, we propose a Bayesian approach to tailor the Compressive Sensing (BCS) mitigate impulsive noises. particular, heavy-tail Laplacian distribution used as statistical model for noise, while prior sparse mult...

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 rela...

Abstract : A popular technique for time delay estimation is to use an FIR filter to model the time difference and the filter weights are interpolated with a sinc function to obtain the delay estimate. However, the sinc interpolator requires a sufficiently long filter length for accurate delay estimation. In this paper, we propose to process the filter weights via a least squares based method in...