Liying Wei, Stefan J. Wijnholds and Paul Hurley, "Robust recovery for aperture synthesis imaging," IEEE International Conference on Image Processing (ICIP), Beijing (China), 17-20 September 2017.
We propose a sparse reconstruction method based on compressed sensing theory for aperture synthesis imaging. Our algorithm directly works on observational data without gridding. We achieve fast convergence by introducing an adaptive tolerance parameter based on the noise level and a thresholding value based on the cumulative sum of the power of the estimated source components. We demonstrate the accuracy in estimating the source positions and intensities in extremely low signal-to-noise (SNR) scenarios in Monte Carlo simulation. We could recover both point sources and extended sources with our algorithm using a Dirac basis from real data.
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