Bandwidth-constrained distributed estimation for wireless sensor Networks-part I: Gaussian case

We study deterministic mean-location parameter estimation when only quantized versions of the original observations are available, due to bandwidth constraints. When the dynamic range of the parameter is small or comparable with the noise variance, we introduce a class of maximum-likelihood estimato...

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Veröffentlicht in:	IEEE transactions on signal processing Jg. 54; H. 3; S. 1131 - 1143
Hauptverfasser:	Ribeiro, A., Giannakis, G.B.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York, NY IEEE 01.03.2006 Institute of Electrical and Electronics Engineers The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Additive white noise Algorithms Applied sciences Bandwidth Collaborative work Computer aided software engineering Detection, estimation, filtering, equalization, prediction Dynamic range Estimators Exact sciences and technology Information, signal and communications theory Maximization Maximum likelihood estimation Noise Parameter estimation Quantization Sampling, quantization Sensor phenomena and characterization Sensors Services and terminals of telecommunications Signal and communications theory Signal, noise Systems, networks and services of telecommunications Telecommunications Telecommunications and information theory Telemetry. Remote supervision. Telewarning. Remote control Variance Wireless sensor networks Availability Parameter estimation wireless sensor networks Wireless telecommunication Location parameter Algorithm Mean estimation Implementation Remote sensing Signal quantization Standard deviation Maximum likelihood Resource management Localization Sensor array Deterministic approach
ISSN:	1053-587X, 1941-0476
Online-Zugang:	Volltext
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