Abstract
From this chapter through Chapter 4, in order to use the global optimization strategy, we suppose that the fusion rule is fixed. We concentrate on investigating optimal sensor rules under this fusion rule. For notational simplicity, we start with the simplest multisensor decentralized decision system, namely, the two sensor binary decision system. We focus on Bayes decision problem. However, the basic idea and methods which we derive for this simplest case can be extended to the general multisensor m-ary distributed decision system as well as to the Neyman-Pearson decision and the sequential decision problem
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© 2003 Springer Science+Business Media New York
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Zhu, Y. (2003). Two Sensor Binary Decision. In: Multisensor Decision And Estimation Fusion. The International Series on Asian Studies in Computer and Information Science, vol 14. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-1045-1_2
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DOI: https://doi.org/10.1007/978-1-4615-1045-1_2
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Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4613-5367-6
Online ISBN: 978-1-4615-1045-1
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