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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Bibliographic Details
Published in:IEEE transactions on wireless communications Vol. 12; no. 6; pp. 2918 - 2929
Main Authors: Fang, Jun, Li, Hongbin, Chen, Zhi, Gong, Yu
Format: Journal Article
Language:English
Published: New York, NY IEEE 01.06.2013
Institute of Electrical and Electronics Engineers
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:
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
Online Access:Get full text
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Description
Summary: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.
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ISSN:1536-1276
1558-2248
DOI:10.1109/TCOMM.2013.050613.121221