TY - GEN
T1 - Particle swarm optimization for time-difference-of-arrival based localization
AU - Lui, Kenneth W.K.
AU - Zheng, Jun
AU - So, H. C.
PY - 2007
Y1 - 2007
N2 - Time-difference-of-arrival (TDOA) based source localization has been intensively studied and broadly applied in many fields. In this paper, particle swarm optimization (PSO) is employed for positioning with TDOA measurements in the circumstances of known and unknown propagation speed. The optimization criterion is first developed and the PSO technique is then employed to search the global minimum of the cost function. For sufficiently small noise conditions, simulation results show that the PSO approach provides accurate source location estimation for both known and unknown propagation speed, and also gives an efficient speed estimate in the later case. © 2007 EURASIP.
AB - Time-difference-of-arrival (TDOA) based source localization has been intensively studied and broadly applied in many fields. In this paper, particle swarm optimization (PSO) is employed for positioning with TDOA measurements in the circumstances of known and unknown propagation speed. The optimization criterion is first developed and the PSO technique is then employed to search the global minimum of the cost function. For sufficiently small noise conditions, simulation results show that the PSO approach provides accurate source location estimation for both known and unknown propagation speed, and also gives an efficient speed estimate in the later case. © 2007 EURASIP.
KW - Particle Swarm optimization
KW - Source localization
KW - Time-difference-of-arrival
UR - https://www.scopus.com/pages/publications/84863752265
UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-84863752265&origin=recordpage
M3 - RGC 32 - Refereed conference paper (with host publication)
SN - 9788392134022
SP - 414
EP - 417
BT - European Signal Processing Conference
T2 - 15th European Signal Processing Conference, EUSIPCO 2007
Y2 - 3 September 2007 through 7 September 2007
ER -