29 October 1997 Target tracking with retrodicted discrete probabilities
Author Affiliations +
Abstract
The concept of retrodiction of discrete probabilities is exploited in this paper to provide alternative data association algorithms for tracking multiple targets with a single or multiple sensors. These algorithms employ multiple frames of data in the data association processing. The concept of retrodiction is also applied to the task of multiple model filtering. Alterative optimization criteria are also exploited to provide alternative association approaches and each approach is expected to exhibit different estimation error characteristics. These additional association approaches provide wider selection to better tailor the tracking algorithms to a specific application. These approaches offer improved performance over single-frame association tracking approaches. This improved performance is obtained, however, at the expense of increased processing load. A number of different approaches are described that employ multiple-frame data association. Similarly, a number of different approaches are also described that employ a moving window of multiple measurements for multiple model filtering. With these algorithms, design parameters can be selected to adjust performance to suit a specific application.
© (1997) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Oliver E. Drummond, "Target tracking with retrodicted discrete probabilities", Proc. SPIE 3163, Signal and Data Processing of Small Targets 1997, (29 October 1997); doi: 10.1117/12.292745; https://doi.org/10.1117/12.292745
PROCEEDINGS
20 PAGES


SHARE
KEYWORDS
Composites

Detection and tracking algorithms

Sensors

Data modeling

Error analysis

Mathematical modeling

Switching

RELATED CONTENT


Back to Top