TY - JOUR
T1 - Adaptive suppression of RFI and its effect on radio-astronomical image formation
AU - Leshem, A.
AU - Van Der Veen, A. J.
PY - 2001/1/1
Y1 - 2001/1/1
N2 - Radio-astronomical observations are increasingly contaminated by interference, and suppression techniques become essential. A powerful candidate for interference mitigation is adaptive spatial filtering. We study the effect of spatial filtering techniques on radio astronomical imaging. 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.
AB - Radio-astronomical observations are increasingly contaminated by interference, and suppression techniques become essential. A powerful candidate for interference mitigation is adaptive spatial filtering. We study the effect of spatial filtering techniques on radio astronomical imaging. 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.
UR - https://www.scopus.com/pages/publications/35173027
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VL - 3
JO - IEEE International Conference on Image Processing
JF - IEEE International Conference on Image Processing
ER -