Linear Estimation in Interconnected Sensor Systems with Information Constraints

By: Material type: ArticleArticleLanguage: English Publication details: KIT Scientific Publishing 2015Description: 1 electronic resource (XVII, 227 p. p.)ISBN:
  • KSP/1000045577
  • 9783731503422
Subject(s): Online resources: Summary: A ubiquitous challenge in many technical applications is to estimate an unknown state by means of data that stems from several, often heterogeneous sensor sources. In this book, information is interpreted stochastically, and techniques for the distributed processing of data are derived that minimize the error of estimates about the unknown state. Methods for the reconstruction of dependencies are proposed and novel approaches for the distributed processing of noisy data are developed.
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A ubiquitous challenge in many technical applications is to estimate an unknown state by means of data that stems from several, often heterogeneous sensor sources. In this book, information is interpreted stochastically, and techniques for the distributed processing of data are derived that minimize the error of estimates about the unknown state. Methods for the reconstruction of dependencies are proposed and novel approaches for the distributed processing of noisy data are developed.

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