Joint Precoder Design for Distributed Transmission of Correlated Sources in Sensor Networks

We consider the problem of transmitting multiple spatially distributed correlated sources to a common destination (e.g. a fusion center or an access point) in wireless sensor networks (WSNs). The correlated data from multiple sensors are jointly transmitted to the destination via orthogonal channels...

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Vydáno v:	IEEE transactions on wireless communications Ročník 12; číslo 6; s. 2918 - 2929
Hlavní autoři:	Fang, Jun, Li, Hongbin, Chen, Zhi, Gong, Yu
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	New York, NY IEEE 01.06.2013 Institute of Electrical and Electronics Engineers The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:	Antennas Applied sciences Channels Correlation Covariance matrices Detection, estimation, filtering, equalization, prediction distributed correlated sources Exact sciences and technology Gauss-Seidel approach Information, signal and communications theory Joints Linear programming Optimization Precoder design Radiocommunications Receivers Remote sensors sensor networks Sensors Services and terminals of telecommunications Signal and communications theory Signal, noise Studies Systems, networks and services of telecommunications Telecommunications Telecommunications and information theory Telemetry. Remote supervision. Telewarning. Remote control Transmission Transmission and modulation (techniques and equipments) Wireless networks Wireless sensor networks Parameter estimation Spatial correlation Wireless telecommunication Iterative method sensor networks Remote sensing Information source Coding Channel estimation Precoder design Pretreatment Receiving antenna Gauss Seidel method Antenna array Signal detection MIMO system Multisensor Gauss-Seidel approach Coding circuit Measurement sensor Distributed source signal Algorithm distributed correlated sources Transmitting antenna Point estimation Wireless network Numerical simulation Sensor array Mutual information
ISSN:	1536-1276, 1558-2248
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Popis
Shrnutí:	We consider the problem of transmitting multiple spatially distributed correlated sources to a common destination (e.g. a fusion center or an access point) in wireless sensor networks (WSNs). The correlated data from multiple sensors are jointly transmitted to the destination via orthogonal channels. We assume that the channel between each sensor and the receiver is multiple-input multiple-output (MIMO), with each sensor and the receiver equipped with multiple transmit/receive antennas. In this framework, we study the problem of joint linear precoder design for all sensors by assuming the knowledge of the instantaneous channel state information (CSI), aiming at maximizing the mutual information between the sources and the received signals at the destination. We propose a Gauss-Seidel iterative approach which successively optimizes the precoding matrix associated with each sensor, while fixing the other precoding matrices. Numerical results show that the proposed algorithm that takes into account the spatial correlation across sensors can achieve higher capacity than conventional methods that neglect the spatial correlation.
Bibliografie:	ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 ObjectType-Article-2 ObjectType-Feature-1 content type line 23
ISSN:	1536-1276 1558-2248
DOI:	10.1109/TCOMM.2013.050613.121221