Paper
12 May 2011 The continuum fusion theory of signal detection applied to a bi-modal fusion problem
Author Affiliations +
Abstract
A new formalism has been developed that produces detection algorithms for model-based problems, in which one or more parameter values is unknown. Continuum Fusion can be used to generate different flavors of algorithm for any composite hypothesis testing problem. The methodology is defined by a fusion logic that can be translated into max/min conditions. Here it is applied to a simple sensor fusion model, but one for which the generalized likelihood ratio test is intractable. By contrast, a fusion-based response to the same problem can be devised that is solvable in closed form and represents a good approximation to the GLR test.
© (2011) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
A. Schaum "The continuum fusion theory of signal detection applied to a bi-modal fusion problem", Proc. SPIE 8064, Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2011, 806403 (12 May 2011); https://doi.org/10.1117/12.883491
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Cited by 7 scholarly publications.
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KEYWORDS
Detection and tracking algorithms

Sensors

Algorithm development

Signal detection

Target detection

Signal processing

Composites

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