Proceedings Paper
A technique for sensors fusion with limited number of common measures| Format | Member Price | Non-Member Price |
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Paper Abstract
An algorithm is proposed here that overcomes the problem of the not exhaustive number of common measures from sensors
of different kind. In the presence of a suite of heterogeneous sensors, the data fusion process has to deal with the problem
of managing different information, generally not directly comparable. The analysis of the mathematical model is carried
out considering a data fusion system between radar and Infrared Search and Track (IRST) where the measurement of the
range is achieved by radar only. Simulation results demonstrate the effectiveness of the algorithm as regards the fusion
process, tracking and correctness of association among tracks from different sensors. A comparison with a known approach
from the literature about the fusion equation is also performed.
Paper Details
Date Published: 5 June 2015
PDF: 18 pages
Proc. SPIE 9474, Signal Processing, Sensor/Information Fusion, and Target Recognition XXIV, 94740O (5 June 2015); doi: 10.1117/12.2177069
Published in SPIE Proceedings Vol. 9474:
Signal Processing, Sensor/Information Fusion, and Target Recognition XXIV
Ivan Kadar, Editor(s)
PDF: 18 pages
Proc. SPIE 9474, Signal Processing, Sensor/Information Fusion, and Target Recognition XXIV, 94740O (5 June 2015); doi: 10.1117/12.2177069
Show Author Affiliations
Carlo Quaranta, SELEX ES S.p.A. (Italy)
Giorgio Balzarotti, SELEX ES S.p.A. (Italy)
Published in SPIE Proceedings Vol. 9474:
Signal Processing, Sensor/Information Fusion, and Target Recognition XXIV
Ivan Kadar, Editor(s)
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