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Proceedings Paper

Improvement of detection rates via data association
Author(s): Carole E. Nahum; Hubert M. J. Cantalloube
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Paper Abstract

The relevance of data association is analyzed for the very crucial problem of detection. Statistical decision theory is applied in order to establish the optical detection test for a multisensor system. the optimal high threshold, optimal low threshold, and optimal linear tests are also derived. These four tests have been illustrated in the simplest case of a two-sensor system with a known and constant signal, and a modeling of the sensor noises. The decision regions are displayed and the performances are compared.

Paper Details

Date Published: 10 June 1994
PDF: 11 pages
Proc. SPIE 2232, Signal Processing, Sensor Fusion, and Target Recognition III, (10 June 1994); doi: 10.1117/12.177760
Show Author Affiliations
Carole E. Nahum, Office National d'Etudes et de Recherches Aerospatiales (France)
Hubert M. J. Cantalloube, Office National d'Etudes et de Recherches Aerospatiales (France)


Published in SPIE Proceedings Vol. 2232:
Signal Processing, Sensor Fusion, and Target Recognition III
Ivan Kadar; Vibeke Libby, Editor(s)

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