论文信息 - Target tracking and guidance using particles

Target tracking and guidance using particles

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.

D. J. Salmond | D. Salmond | N. Everett | N. J. Gordont | N. O. Everett

[1] N. Gordon,et al. Novel approach to nonlinear/non-Gaussian Bayesian state estimation , 1993 .

[2] Richard V. Lawrence. Interceptor Line-of-Sight Rate Steering: Necessary Conditions for a Direct Hit , 1998 .

[3] Dimitri P. Bertsekas,et al. Dynamic Programming: Deterministic and Stochastic Models , 1987 .

[4] Nando de Freitas,et al. Sequential Monte Carlo Methods in Practice , 2001, Statistics for Engineering and Information Science.

[5] G. Tanner,et al. Missile control against multiple targets using non-quadratic cost functions , 1995, Proceedings of 1995 American Control Conference - ACC'95.

[6] Neil J. Gordon,et al. Tracking in the presence of intermittent spurious objects and clutter , 1998, Defense, Security, and Sensing.

[7] D. Avitzour. Stochastic simulation Bayesian approach to multitarget tracking , 1995 .

[8] Neil J. Gordon,et al. Editors: Sequential Monte Carlo Methods in Practice , 2001 .

[9] Y. Bar-Shalom. Stochastic dynamic programming: Caution and probing , 1981 .