Title :
Target tracking and guidance using particles
Author :
Salmond, D.J. ; Everett, N.O. ; Gordont, N.J.
Author_Institution :
Defence Evaluation & Res. Agency, UK
Abstract :
The stochastic control problem is considered in the context of particle filters. In particular, a guidance law that makes good use of the sample set from a particle filter is proposed. The operation of the filter/guidance law is demonstrated and analysed for a two object simulation example
Keywords :
Bayes methods; filtering theory; linear quadratic Gaussian control; navigation; suboptimal control; tracking; Bayesian guidance estimator; LQG control; particle filter; stochastic control; suboptimal control; target tracking; Analytical models; Bayesian methods; Modems; Optimal control; Particle filters; Probability distribution; State estimation; Statistical distributions; Stochastic processes; Target tracking;
Conference_Titel :
American Control Conference, 2001. Proceedings of the 2001
Conference_Location :
Arlington, VA
Print_ISBN :
0-7803-6495-3
DOI :
10.1109/ACC.2001.945668