Computer Graphics
TU Braunschweig

A Sparse Reconstruction Algorithm for Multi-Frequency Radio Images

A Sparse Reconstruction Algorithm for Multi-Frequency Radio Images

In radio interferometry, every pair of antennas in an array defines one sampling point in the Fourier domain of the sky image. By combining infor-

mation from different wavelengths, sample coverage—and therefore reconstruction quality—can be increased. However, the images at different wavelengths can be dramatically dissimilar; this fact must be taken into account when reconstructing multi-frequency images. In this paper, we present a novel reconstruction algorithm based on the assumption that the spectrum is continuous. In contrast to prior work, we allow for sparse deviations from this assumption: this allows, for example, for accurate reconstruction of line spectra superimposed on a continuum. Using simulated measurements on synthetic multi-frequency images, we show that the proposed approach provides significant improvements over a comparable method based solely on a continuity assumption.

Author(s):Stephan Wenger, Marcus Magnor
Type:Technical Report
Project(s): Radio Astronomy Synthesis Imaging 

  title = {A Sparse Reconstruction Algorithm for Multi-Frequency Radio Images},
  author = {Wenger, Stephan and Magnor, Marcus},
  institution = {Inst. f. Computergraphik, {TU} Braunschweig},
  number = {20},
  month = {Nov},
  year = {2014}