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Proceedings Paper

Scientific performance evaluation for distributed sensor management and adaptive data fusion
Author(s): Adel I. El-Fallah; Ravi B. Ravichandran; Raman K. Mehra; John R. Hoffman; Tim Zajic; Chad A. Stelzig; Ronald P. S. Mahler; Mark G. Alford
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Paper Abstract

For the last two years at this conference, we have described the implementation of a unified, scientific approach to performance measurement for data fusion algorithms based on FINITE-SET STATISTICS (FISST). FISST makes it possible to directly extend Shannon-type information metrics to multisource, multitarget problems. In previous papers we described application of information Measures of Effectiveness (MoEs) to multisource-multitarget data fusion and to non-distributed sensor management. In this follow-on paper we show how to generalize this work to DISTRIBUTED sensor management and ADAPTIVE DATA FUSION.

Paper Details

Date Published: 16 August 2001
PDF: 11 pages
Proc. SPIE 4380, Signal Processing, Sensor Fusion, and Target Recognition X, (16 August 2001); doi: 10.1117/12.436960
Show Author Affiliations
Adel I. El-Fallah, Scientific Systems Co., Inc. (United States)
Ravi B. Ravichandran, Scientific Systems Co., Inc. (United States)
Raman K. Mehra, Scientific Systems Co., Inc. (United States)
John R. Hoffman, Lockheed Martin Tactical Defence Systems (United States)
Tim Zajic, Lockheed Martin Tactical Defence Systems (United States)
Chad A. Stelzig, Lockheed Martin Tactical Defence Systems (United States)
Ronald P. S. Mahler, Lockheed Martin Tactical Defence Systems (United States)
Mark G. Alford, Air Force Research Lab. (United States)


Published in SPIE Proceedings Vol. 4380:
Signal Processing, Sensor Fusion, and Target Recognition X
Ivan Kadar, Editor(s)

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