2014/11/14 by Orhan Öçal, Ocal, Orhan, Paul Hurley +6
Engineering · Environmental Science · Physics and Astronomy · #Antenna Design and Optimization #FOS: Physical sciences #Instrumentation and Methods for Astrophysics (astro-ph.IM) #Radio Astronomy Observations and Technology #Soil Moisture and Remote Sensing
paper · pdf · doi:10.48550/arxiv.1411.4002
openalex publication_date 2014/11/14 · openalex created_date 2022/10/03 · openalex updated_date 2026/07/28
The Square Kilometre Array (SKA) will form the largest radio telescope ever\nbuilt and such a huge instrument in the desert poses enormous engineering and\nlogistic challenges. Algorithmic and architectural breakthroughs are needed.\n Data is collected and processed in groups of antennas before transport for\ncentral processing. This processing includes beamforming, primarily so as to\nreduce the amount of data sent. The principal existing technique points to a\nregion of interest independently of the sky model and how the other stations\nbeamform.\n We propose a new collaborative beamforming algorithm in order to maximize\ninformation captured at the stations (thus reducing the amount of data\ntransported). The method increases the diversity in measurements through\nrandomized beam- forming. We demonstrate through numerical simulation the\neffectiveness of the method. In particular, we show that randomized beamforming\ncan achieve the same image quality while producing 40% less data when compared\nto the prevailing method matched beamforming.\n