Spatial Compressive Sensing for MIMO Radar

@article{Rossi2014SpatialCS,
  title={Spatial Compressive Sensing for MIMO Radar},
  author={Marco Rossi and Alexander M. Haimovich and Yonina C. Eldar},
  journal={IEEE Transactions on Signal Processing},
  year={2014},
  volume={62},
  pages={419-430}
}
We study compressive sensing in the spatial domain to achieve target localization, specifically direction of arrival (DOA), using multiple-input multiple-output (MIMO) radar. A sparse localization framework is proposed for a MIMO array in which transmit and receive elements are placed at random. This allows for a dramatic reduction in the number of elements needed, while still attaining performance comparable to that of a filled (Nyquist) array. By leveraging properties of structured random… CONTINUE READING
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