Name
Abstract | ||
|---|---|---|
In this paper, a new compressive sensing (CS)-based direction of arrival (DOA) estimation technique using the Dantzig selector is proposed. The proposed scheme can identify more source signals than the number of sensors used, without requiring an a priori knowledge of the number of source signals to be estimated and without any constraint or assumption about the nature of the signal sources using a fewer number of snapshots. The performance of the proposed scheme is compared to that of the Zhang penalty-based algorithm and the MVDR A-LASSO DOA estimation technique. The computational complexity of the proposed algorithm is substantially lower than that of the Zhang penalty-based method or MVDR A-LASSO. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/MWSCAS.2017.8053059 | Midwest Symposium on Circuits and Systems Conference Proceedings |
Keywords | Field | DocType |
Direction-of-arrival estimation,Sensor array processing,Dantzig-selector,Sparse array,Compressive sensing | Direction of arrival,Computer science,A priori and a posteriori,Electronic engineering,Snapshot (computer storage),Compressed sensing,Computational complexity theory | Conference |
ISSN | Citations | PageRank |
1548-3746 | 0 | 0.34 |
References | Authors | |
4 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Amgad A. Salama | 1 | 0 | 0.34 |
| M. O. Ahmad | 2 | 1157 | 154.87 |
| M. N. Swamy | 3 | 104 | 18.85 |