TY - GEN
T1 - Application of parallel PSO algorithm to motion parameter estimation
AU - Han, Feng
AU - Cui, Wei
AU - Wei, Guohua
AU - Wu, Siliang
PY - 2008
Y1 - 2008
N2 - A new method with an efficient parallel particle swarm optimization (PSO) algorithm is proposed for estimating motion parameters. Compared with the traditional methods, modified parallel PSO algorithm features such as easily realizing in parallel machines and ability of global search are demonstrated. The experiments give the performance of algorithm, which could satisfy the desire in the system of flight path estimation.
AB - A new method with an efficient parallel particle swarm optimization (PSO) algorithm is proposed for estimating motion parameters. Compared with the traditional methods, modified parallel PSO algorithm features such as easily realizing in parallel machines and ability of global search are demonstrated. The experiments give the performance of algorithm, which could satisfy the desire in the system of flight path estimation.
UR - https://www.scopus.com/pages/publications/67249097447
U2 - 10.1109/ICOSP.2008.4697655
DO - 10.1109/ICOSP.2008.4697655
M3 - Conference contribution
AN - SCOPUS:67249097447
SN - 9781424421794
T3 - International Conference on Signal Processing Proceedings, ICSP
SP - 2493
EP - 2496
BT - 2008 9th International Conference on Signal Processing, ICSP 2008
T2 - 2008 9th International Conference on Signal Processing, ICSP 2008
Y2 - 26 October 2008 through 29 October 2008
ER -