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Minimax Decentralized Hypothesis Testing

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Robust and Distributed Hypothesis Testing

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 414))

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Abstract

The source of uncertainty in hypothesis testing can either be the distribution functions conditioned on each hypothesis, or the a priori probabilities as introduced in Chap. 2. In this chapter, implications of the uncertainty caused by an unknown a priori probability is exploited for decentralized detection networks with (DDN-WF) and without a fusion center (DDN-WoF), which are illustrated in Figs. 7.1 and 7.2.

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Authors and Affiliations

  1. Institut für Nachrichtentechnik, Fachbereich Elektro- und Informationstechnik (ETIT), Technische Universität Darmstadt, Darmstadt, Germany

    Gökhan Gül

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  1. Gökhan Gül
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Correspondence to Gökhan Gül .

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Gül, G. (2017). Minimax Decentralized Hypothesis Testing. In: Robust and Distributed Hypothesis Testing. Lecture Notes in Electrical Engineering, vol 414. Springer, Cham. https://doi.org/10.1007/978-3-319-49286-5_7

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  • DOI: https://doi.org/10.1007/978-3-319-49286-5_7

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-49285-8

  • Online ISBN: 978-3-319-49286-5

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