Radio astronomical image formation using constrained least squares and Krylov subspaces

Aims. Image formation for radio astronomy can be defined as estimating the spatial intensity distribution of celestial sources throughout the sky, given an array of antennas. One of the challenges with image formation is that the problem becomes ill-posed as the number of pixels becomes large. The introduction of constraints that incorporate a...

Multichannel detection of Gaussian signals with uncalibrated receivers

Maximum likelihood separation of constant modulus signals

Radio-astronomical imaging in the presence of strong radio interference

Direction-of-arrival estimation for constant modulus signals

Direction of Arrival Estimation for Constant Modulus Signals