Range estimation using angle-only target tracking with particle filters
- 1 January 2001
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- Vol. 140 (07431619) , 3743-3748 vol.5
- https://doi.org/10.1109/acc.2001.946218
Abstract
We consider the recursive state estimation of a maneuverable aircraft using an airborne passive IR-sensor. The main issue addressed in the paper is the range- and velocity estimation using angle-only measurements. In contrast to standard target tracking literature we do not rely on linearized motion models and measurement relations, or on any Gaussian assumptions. Instead, we apply optimal recursive Bayesian filters directly to the nonlinear target model. We present novel sequential simulation based algorithms developed explicitly for the angle-only target tracking problem. These Monte Carlo filters approximate optimal inference by simulating a large number of tracks, or particles. In a simulation study our particle filter approach is compared to a range parameterized extended Kalman filter (RPEKF). Tracking is performed in both Cartesian and modified spherical coordinates (MSC).Keywords
This publication has 9 references indexed in Scilit:
- Estimation and confidence in bearings only trackingPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Filtering via Simulation: Auxiliary Particle FiltersJournal of the American Statistical Association, 1999
- Improved particle filter for nonlinear problemsIEE Proceedings - Radar, Sonar and Navigation, 1999
- Bearings-only target motion analysis based on a multihypothesis Kalman filter and adaptive ownship motion controlIEE Proceedings - Radar, Sonar and Navigation, 1998
- Bearings-only tracking using a set of range-parameterised extended Kalman filtersIEE Proceedings - Control Theory and Applications, 1995
- Modified spherical coordinates for radarPublished by American Institute of Aeronautics and Astronautics (AIAA) ,1994
- Central level fusion of radar and IRST contacts and the choice of coordinate systemPublished by SPIE-Intl Soc Optical Eng ,1993
- Novel approach to nonlinear/non-Gaussian Bayesian state estimationIEE Proceedings F Radar and Signal Processing, 1993
- Utilization of modified polar coordinates for bearings-only trackingIEEE Transactions on Automatic Control, 1983