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Proceedings Paper

Bayesian approach to multisensor data fusion
Author(s): Charles Ray Smith
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Paper Abstract

Multisensor data fusion is concerned with the integration and extraction of information from data obtained from two or more sources. Assuming the data are contaminated with noise, we present the necessary definitions and concepts to formulate multisensor data fusion as a problem of inference; specifically, we show in general and in a simple example how to assign probabilities for hypotheses expressed as propositions when data from two sources supply information relevant to the hypotheses. The example is concerned with target identification with a pulsed radar and a continuous-wave radar.

Paper Details

Date Published: 9 July 1992
PDF: 15 pages
Proc. SPIE 1699, Signal Processing, Sensor Fusion, and Target Recognition, (9 July 1992); doi: 10.1117/12.138237
Show Author Affiliations
Charles Ray Smith, U.S. Army Missile Command (United States)


Published in SPIE Proceedings Vol. 1699:
Signal Processing, Sensor Fusion, and Target Recognition
Vibeke Libby; Ivan Kadar, Editor(s)

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