论文信息 - Target tracking using Monte Carlo simulation

Target tracking using Monte Carlo simulation

This paper proposes and studies an implementation of the bootstrap stochastic simulation approach for estimating a hybrid system – the bootstrap multiple model (BMM) algorithm. The BMM filter is applied to tracking maneuvering target. The tracking capabilities of the filter are demonstrated by computer simulation.

Donka Angelova | Tz. A. Semerdjiev | V. P. Jilkov

[1] Yaakov Bar-Shalom,et al. Estimation and Tracking: Principles, Techniques, and Software , 1993 .

[2] Krishna R. Pattipati,et al. A Unified View of State Estimation in Switching Environments , 1983, 1983 American Control Conference.

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

[4] D. P. Atherton,et al. Adaptive interacting multiple model algorithm for tracking a manoeuvring target , 1995 .

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

[6] Alan E. Gelfand,et al. Bayesian statistics without tears: A sampling-resampling perspective , 1992 .

[7] N. Gordon. A hybrid bootstrap filter for target tracking in clutter , 1995, IEEE Transactions on Aerospace and Electronic Systems.

[8] Yakov Bar-Shalom,et al. Multitarget-Multisensor Tracking: Principles and Techniques , 1995 .