Bayesian approach to target tracking in the presence of glint

Neil J. Gordon; Angela Whitby

doi:10.1117/12.217720

1 September 1995 Bayesian approach to target tracking in the presence of glint

Neil J. Gordon, Angela Whitby

Proceedings Volume 2561, Signal and Data Processing of Small Targets 1995; (1995) https://doi.org/10.1117/12.217720
Event: SPIE's 1995 International Symposium on Optical Science, Engineering, and Instrumentation, 1995, San Diego, CA, United States

Abstract

When tracking targets with radar, changes in target aspect with respect to the observer can cause the apparent center of radar reflections to wander significantly. The resulting noisy angle errors are called target glint. Glint may severely affect the tracking accuracy, particularly when tracking large targets at short ranges (such as might occur in the final homing phase of a missile engagement). The effect of glint is to produce heavy-tailed, time correlated non-Gaussian disturbances on the observations. It is well known that the performance of the Kalman filter degrades severely in the presence of such disturbances. In this paper we propose a random sample based implementation of a Bayesian recursive filter. This filter is based on the Metropolis-Hastings algorithm and the Gaussian sum approach. The key advantage of the filter is that any nonlinear/non-Gaussian system and/or measurement models can be routinely implemented. Tracking performance of the filter is demonstrated in the presence of glint.

Citation Download Citation

Neil J. Gordon and Angela Whitby "Bayesian approach to target tracking in the presence of glint", Proc. SPIE 2561, Signal and Data Processing of Small Targets 1995, (1 September 1995); https://doi.org/10.1117/12.217720

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available