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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…

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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…

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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)…

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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…

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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…

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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…

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