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In this paper, we investigate a novel networked colocated MIMO radar approach that relies on sparse sensing and matrix completion, and enables significant reduction of the volume of data required for accurate target detection and estimation. More specifically, the receive antennas sample the target returns via two sparse sensing schemes, and forward the obtained samples to a fusion center. Based on the data from multiple antennas, the fusion center can formulate and solve a low rank matrixdoi:10.1109/isspit.2013.6781930 dblp:conf/isspit/KalogeriasSP13 fatcat:keesboy32zcu5ie7f5hrqj7ase