Ronny Levanda

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Next-generation radio telescopes will be much larger, more sensitive, have a much larger observation bandwidth, and will be capable of pointing multiple beams simultaneously. Obtaining the sensitivity, resolution, and dynamic range supported by the receivers requires the development of new signal processing techniques for array and atmospheric calibration(More)
In this paper, we discuss the computation of weighted max-min rate allocation among <i>N</i> users, using joint FDM/TDM strategies under a power spectral density (PSD) mask constraint. We show that the weighted max-min solution allocates the rates according to a predetermined rate ratio defined by the weights, a fact that has considerable implications for(More)
Achieving better imaging of weak sources in the presence of strong interfering sources is a major challenge in various fields of signal processing, such as radio astronomy, SAR imaging, SONAR and wideband signal processing. We present a new algorithm for parameter estimation that can be implemented when a moving array is used. This adaptive beamformer can(More)
We propose a new sequential deconvolution algorithm, that is applicable to imaging using moving and synthetic aperture arrays. The new method results in a higher resolution and a more accurate estimation than commonly used methods when strong interfering sources are present inside and outside the field of view (terrestrial interference, confusing sources).(More)
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