TY - GEN
T1 - A biological inspired improvement strategy for particle filters
AU - Zhong, J. P.
AU - Fung, Y. F.
PY - 2009/5/19
Y1 - 2009/5/19
N2 - Particle Filters (PF) is a model estimation technique based on simulation. But two problems, namely particle impoverishment and sample size dependency, frequently occur during the particle updating stage and these problems will reduce the accuracy of the estimation results. In order to avoid these problems, Ant Colony Optimization is incorporated into the generic particle filter before the updating stage. After the optimization, particle samples will move closer to their local highest posterior density function and better estimation results can be produced.
AB - Particle Filters (PF) is a model estimation technique based on simulation. But two problems, namely particle impoverishment and sample size dependency, frequently occur during the particle updating stage and these problems will reduce the accuracy of the estimation results. In order to avoid these problems, Ant Colony Optimization is incorporated into the generic particle filter before the updating stage. After the optimization, particle samples will move closer to their local highest posterior density function and better estimation results can be produced.
UR - http://www.scopus.com/inward/record.url?scp=67650340139&partnerID=8YFLogxK
U2 - 10.1109/ICIT.2009.4939539
DO - 10.1109/ICIT.2009.4939539
M3 - Conference article published in proceeding or book
AN - SCOPUS:67650340139
SN - 1424435064
SN - 9781424435067
T3 - Proceedings of the IEEE International Conference on Industrial Technology
BT - 2009 IEEE International Conference on Industrial Technology, ICIT 2009
T2 - 2009 IEEE International Conference on Industrial Technology, ICIT 2009
Y2 - 10 February 2009 through 13 February 2009
ER -