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Alle-Jan van der Veen

6 accepted papers

2020

Joint Blind Calibration and Time-Delay Estimation for Multiband Ranging

ICASSP 2020accepted

In this paper, we focus on the problem of blind joint calibration of multiband transceivers and time-delay (TD) estimation of multipath channels. We show that this problem can be formulated as a particular case of covariance matching. Although this problem is severely ill-posed, prior information ab…

Cited by 0SourceScholar
2019

Multiresolution Time-of-arrival Estimation from Multiband Radio Channel Measurements

ICASSP 2019accepted

Achieving high resolution time-of-arrival (TOA) estimation in multipath propagation scenarios from bandlimited observations of communication signals is challenging because the multipath channel impulse response (CIR) is not bandlimited. Modeling the CIR as a sparse sequence of Diracs, TOA estimation…

Cited by 0SourceScholar
2017

Radioastronomical Least Squares image reconstruction with iteration regularized Krylov subspaces and beamforming-based prior conditioning

ICASSP 2017accepted

A fast iterative method based on projection onto Krylov subspaces has been proposed for Radio Astronomical (RA) image reconstruction from telescope array measurements. The image formation problem is formulated as a linear least squares (LS) estimation problem by discretizing the Field of View (FoV)…

Cited by 9SourceScholar
2016

A practical clock synchronization algorithm for UWB positioning systems

ICASSP 2016accepted

A clock synchronization scheme is crucial for obtaining accuracy in time-based positioning systems. Existing clock synchronization schemes are mostly based on a simplified linear clock model, which unfortunately have a poor long-term synchronization accuracy. Assuming a two-way time transfer protoco…

Cited by 11SourceScholar
2016

Radioastronomical image reconstruction with regularized least squares

ICASSP 2016accepted

Image formation using the data from an array of sensors is a familiar problem in many fields such as radio astronomy, biomedical and geodetic imaging. The problem can be formulated as a least squares (LS) estimation problem and becomes ill-posed at high resolutions, i.e. large number of image pixels…

Cited by 0SourceScholar
2015

Computationally efficient radio astronomical image formation using constrained least squares and and the MVDR beamformer

ICASSP 2015accepted

Linear image deconvolution for radio-astronomy is an ill-posed problem. For this reason, a-priori knowledge is crucial for improving the performance of the deconvolution. In this paper we show that combining non-negativity constraints with an upper bound on the magnitude of each pixel in the image c…

Cited by 0SourceScholar