Recursive strategies for decision fusion in imperfect multisensor environments: part I--fusion benefits

Belur V. Dasarathy

doi:10.1117/12.179044

22 June 1994 Recursive strategies for decision fusion in imperfect multisensor environments. Part I--fusion benefits

Belur V. Dasarathy

Proceedings Volume 2233, Sensor Fusion and Aerospace Applications II; (1994) https://doi.org/10.1117/12.179044
Event: SPIE's International Symposium on Optical Engineering and Photonics in Aerospace Sensing, 1994, Orlando, FL, United States

Abstract

This paper presents alternative strategies framed within a recursive structure for enhancing multisensor system performance through fusion of individual decisions derived from imperfect sensors. A confidence measure can be associated with each decision derived from an imperfect sensor and as such, decisions obtained with a confidence less than an acceptable threshold value are viewed as non-decisions in developing the fused decision. The initial and asymptotic performances of these alternative strategies are analyzed and compared against the datum of single sensor performance.

Citation Download Citation

Belur V. Dasarathy "Recursive strategies for decision fusion in imperfect multisensor environments. Part I--fusion benefits", Proc. SPIE 2233, Sensor Fusion and Aerospace Applications II, (22 June 1994); https://doi.org/10.1117/12.179044

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