TY - GEN
T1 - Performance analysis of the Particle Swarm Optimization algorithm when applied to Direction of Arrival estimation
AU - Errasti, B.
AU - Escot, D.
AU - Poyatos, D.
AU - Montiel, I.
PY - 2009
Y1 - 2009
N2 - Direction Of Arrival (DOA) estimation is a well known problem involved in different applications. The latest of these applications have greater constraints which make necessary new efforts in estimating the DOA with fewer snapshots. In that sense, this paper presents an iterative method based on Particle Swarm Optimization that solves the problem with a single snapshot. The performance of this algorithm is analyzed and shown with numerical results under different scenarios. Conclusions are also provided.
AB - Direction Of Arrival (DOA) estimation is a well known problem involved in different applications. The latest of these applications have greater constraints which make necessary new efforts in estimating the DOA with fewer snapshots. In that sense, this paper presents an iterative method based on Particle Swarm Optimization that solves the problem with a single snapshot. The performance of this algorithm is analyzed and shown with numerical results under different scenarios. Conclusions are also provided.
UR - https://www.scopus.com/pages/publications/72849125234
U2 - 10.1109/ICEAA.2009.5297397
DO - 10.1109/ICEAA.2009.5297397
M3 - Conference contribution
AN - SCOPUS:72849125234
SN - 9781424433865
T3 - Proceedings of the 2009 International Conference on Electromagnetics in Advanced Applications, ICEAA '09
SP - 447
EP - 450
BT - Proceedings of the 2009 International Conference on Electromagnetics in Advanced Applications, ICEAA '09
T2 - 2009 International Conference on Electromagnetics in Advanced Applications, ICEAA '09
Y2 - 14 September 2009 through 18 September 2009
ER -