Sparsening Conformal Arrays Through a Versatile $BCS$-Based Method

@article{Oliveri2014SparseningCA,
  title={Sparsening Conformal Arrays Through a Versatile \$BCS\$-Based Method},
  author={Giacomo Oliveri and Ephrem T. Bekele and Fabrizio Robol and Andrea Massa},
  journal={IEEE Transactions on Antennas and Propagation},
  year={2014},
  volume={62},
  pages={1681-1689}
}
Sparsening conformal arrangements is carried out through a versatile Multi-Task Bayesian Compressive Sensing (MT-BCS) strategy. The problem, formulated in a probabilistic fashion as a pattern-matching synthesis, is that of determining the sparsest excitation set (locations and weights) fitting a reference pattern subject to user-defined geometrical constraints. Results from a set of representative numerical experiments are presented to illustrate the key-features of the proposed approach as… CONTINUE READING
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