Sparse representation-based method for two-dimensional direction-of-arrival estimation with L-shaped array

@article{Luo2014SparseRM,
  title={Sparse representation-based method for two-dimensional direction-of-arrival estimation with L-shaped array},
  author={Xiaoyu Luo and Xiaochao Fei and Ping Wei and Lu Gan},
  journal={2014 IEEE International Conference on Communiction Problem-solving},
  year={2014},
  pages={277-280}
}
A novel sparse representation-based method for two-dimensional (2-D) direction-of-arrival (DOA) estimation with L-shaped array is proposed. In our method, the 2-D DOA estimation is cast as a reconstituted problem of sparse matrix. The model for sparse-matrix reconstitution is first presented based on the cross-correlation matrix. Then an extended orthogonal… CONTINUE READING

4 Figures & Tables

Topics

Statistics

01020201620172018
Citations per Year

Citation Velocity: 8

Averaging 8 citations per year over the last 3 years.

Learn more about how we calculate this metric in our FAQ.