Title
On the effect of correlated measurements on the performance of distributed estimation
Abstract
We address the distributed estimation of an unknown scalar parameter in Wireless Sensor Networks (WSNs). Sensor nodes transmit their noisy observations over multiple access channel to a Fusion Center (FC) that reconstructs the source parameter. The received signal is corrupted by noise and channel fading, so that the FC objective is to minimize the Mean-Square Error (MSE) of the estimate. In this paper, we assume sensor node observations to be correlated with the source signal and correlated with each other as well. The correlation coefficient between two observations is exponentially decaying with the distance separation. The effect of the distance-based correlation on the estimation quality is demonstrated and compared with the case of unity correlated observations. Moreover, a closed-form expression for the outage probability is derived and its dependency on the correlation coefficients is investigated. Numerical simulations are provided to verify our analytic results.
Year
DOI
Venue
2013
10.1109/ICC.2013.6655322
international conference on communications
Keywords
DocType
Volume
fading channels,mean square error methods,probability,sensor fusion,wireless sensor networks,FC,MSE,WSN,channel fading,closed-form expression,correlation coefficient,distributed estimation,fusion center,mean-square error,multiple access channel,outage probability,sensor node,wireless sensor networks
Conference
abs/1304.7457
ISSN
Citations 
PageRank 
1550-3607
2
0.38
References 
Authors
11
3
Name
Order
Citations
PageRank
Mohammed F. A. Ahmed151.52
Al-Naffouri, T.Y.216112.05
Alouini Mohamed-Slim3122611194.14