Name
Abstract | ||
|---|---|---|
The use of a receiving array of antennas allows the system to localize multiple sources. This estimation is sometimes simplified to a direction-of-arrival (DoA) estimation. The covariance-based (CB)-DoA algorithm is a lower complexity alternative to the ESPRIT algorithm, and yet achieves similar mean-squared error (MSE) with the same geometrical constraints. This article proposes a lower complexity CB-DoA algorithm. In the proposed algorithm, the eigenvector decomposition (EVD) of a non-Hermitian matrix is substituted by two lower complexity Hermitian EVDs. The replacement of EVDs does not imply MSE degradation. Discussions on exploiting the independent processing of the new EVDs are also provided. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/SAM.2016.7569606 | 2016 IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM) |
Keywords | Field | DocType |
direction-of-arrival estimation,ESPRIT,antenna array | Eigenvector decomposition,Mathematical optimization,Algorithm design,Computer science,Matrix (mathematics),Statistics,Hermitian matrix,Covariance,Computational complexity theory | Conference |
ISBN | Citations | PageRank |
978-1-5090-2104-8 | 1 | 0.36 |
References | Authors | |
9 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Tadeu N. Ferreira | 1 | 48 | 7.41 |
| Sergio L. Netto | 2 | 141 | 26.27 |
| de Campos, M.L.R. | 3 | 209 | 26.17 |
| Paulo S. R. Diniz | 4 | 247 | 38.72 |