Effect of adaptive interference supression on radio astronomical image formation

Conference paper (2000)

Authors

A Leshem Signal Processing Systems -

A.J. van der Veen Signal Processing Systems -

Research Group

Signal Processing Systems () (TU Delft)

Image formation Spatial filtering Synthesis aperture CLEAN Radio frequency interference Square Kilometer Array Parametric methods

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Published Date

01-03-2000

Language

English

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Faculty

Electrical Engineering, Mathematics and Computer Science

Department

Microelectronics

Research Group

Signal Processing Systems

Abstract

The increasing use of the electromagnetic spectrum and the need for more sensitive radio telescopes spures wide interest in adaptive RFI suppression techniques, such as spatial filtering. We study the effect of spatial filtering techniques on radio astronomical image formation. Current deconvolution procedures such as CLEAN are shown to be unsuitable to spatially filtered data, and the necessary corrections are derived. To that end, we reformulate the imaging (deconvolution/calibration) process as a sequential estimation of the locations of astronomical sources. This leads to an extended CLEAN algorithm and gives estimates of the expected image quality and the amount of interference suppression that can be achieved. Some of the effects are shown in simulated images.