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Minimax Decentralized Hypothesis Testing

  • Gökhan GülEmail author
Chapter
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 414)

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.

Keywords

Decision Maker Sensor Network Error Probability Detection Performance Fusion Center 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

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

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