5 May 2011 A multiple IMM approach with unbiased mixing for thrusting projectiles
Author Affiliations +
Proceedings Volume 8050, Signal Processing, Sensor Fusion, and Target Recognition XX; 805006 (2011); doi: 10.1117/12.882841
Event: SPIE Defense, Security, and Sensing, 2011, Orlando, Florida, United States
Abstract
This paper presents a multiple interacting multiple model (MIMM) procedure to estimate the state of thrusting/ ballistic projectiles in the atmosphere for the purpose of impact point prediction (IPP). Given a very short time span of observations, the strong interaction between drag and thrust in the dynamic model, in the sense of ambiguity in the estimation, significantly affects the estimation performance and the final IPP accuracy. This leads to the need to use an MIMM estimator with various initial drag coefficient estimates. The modes of each IMM estimator are for the thrusting and the ballistic phases and different extended Kalman filters (EKF) are used as the mode-matched filters with different dimension states. A novel unbiased mixing procedure for an IMM estimator is introduced to deal with state estimates with unequal dimensions, as is the case for the thrusting and ballistic models. The IPP is carried out at the end of the observation period by using the most probable mode of the selected IMM estimator, the latter being the one with the highest likelihood in the MIMM approach.
© (2011) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Ting Yuan, Yaakov Bar-Shalom, Peter Willett, E. Mozeson, S. Pollak, David Hardiman, "A multiple IMM approach with unbiased mixing for thrusting projectiles", Proc. SPIE 8050, Signal Processing, Sensor Fusion, and Target Recognition XX, 805006 (5 May 2011); doi: 10.1117/12.882841; https://doi.org/10.1117/12.882841
PROCEEDINGS
13 PAGES


SHARE
KEYWORDS
Curium

Filtering (signal processing)

Atmospheric modeling

Error analysis

Process modeling

Radon

Electronic filtering

RELATED CONTENT

Study on modeling and filtering of random drift on FOG
Proceedings of SPIE (September 08 2011)
Implementation of an angle-only tracking filter
Proceedings of SPIE (August 01 1991)
Proportional Integral Estimator
Proceedings of SPIE (September 05 1989)
Best hypothesis target tracking and sensor fusion
Proceedings of SPIE (October 04 1999)

Back to Top