Paper
25 August 2003 Information theoretics for improved tracking and fusion performance
Author Affiliations +
Abstract
The use of information theoretics within fusion and tracking represents an interesting addition to the problem of assessing optimal track fusion performance. This paper will explore the use of information-theoretics, namely, the use of the Kullback-Leibler as a measure of improving on the track assignment problem.
© (2003) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Martin E. Liggins II, Mark A. Nebrich, and Kuo Chu Chang "Information theoretics for improved tracking and fusion performance", Proc. SPIE 5096, Signal Processing, Sensor Fusion, and Target Recognition XII, (25 August 2003); https://doi.org/10.1117/12.498652
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CITATIONS
Cited by 3 scholarly publications.
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KEYWORDS
Sensors

Information fusion

Error analysis

Manganese

Quality measurement

Motion models

Sensor fusion

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