Cooperative Localization in WSNs Using Gaussian Mixture Modeling: Distributed ECM Algorithms

We study cooperative sensor network localization in a realistic scenario where the underlying measurement errors more probably follow a non-Gaussian distribution; the measurement error distribution is unknown without conducting massive offline calibrations; and non-line-of-sight identification is no...

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Veröffentlicht in:	IEEE transactions on signal processing 2015-03, Vol.63 (6), p.1448-1463
Hauptverfasser:	Feng Yin, Fritsche, Carsten, Di Jin, Gustafsson, Fredrik, Zoubir, Abdelhak M.
Format:	Artikel
Sprache:	eng
Schlagworte:	Approximation algorithms Centralized and distributed algorithms cooperative localization Electronic countermeasures expectation-conditional maximization (ECM) Gaussian mixture Inference algorithms Maximum likelihood estimation Measurement errors Signal processing algorithms wireless sensor network (WSN) Wireless sensor networks
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