On the effect of correlated measurements on the performance of distributed estimation

Handle URI:
http://hdl.handle.net/10754/564725
Title:
On the effect of correlated measurements on the performance of distributed estimation
Authors:
Ahmed, Mohammed; Al-Naffouri, Tareq Y.; Alouini, Mohamed-Slim ( 0000-0003-4827-1793 )
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. © 2013 IEEE.
KAUST Department:
Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division; Electrical Engineering Program; Communication Theory Lab
Publisher:
Institute of Electrical and Electronics Engineers (IEEE)
Journal:
2013 IEEE International Conference on Communications (ICC)
Conference/Event name:
2013 IEEE International Conference on Communications, ICC 2013
Issue Date:
Jun-2013
DOI:
10.1109/ICC.2013.6655322
ARXIV:
arXiv:1304.7457
Type:
Conference Paper
ISSN:
15503607
ISBN:
9781467331227
Additional Links:
http://arxiv.org/abs/arXiv:1304.7457v1
Appears in Collections:
Conference Papers; Electrical Engineering Program; Communication Theory Lab; Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division

Full metadata record

DC FieldValue Language
dc.contributor.authorAhmed, Mohammeden
dc.contributor.authorAl-Naffouri, Tareq Y.en
dc.contributor.authorAlouini, Mohamed-Slimen
dc.date.accessioned2015-08-04T07:13:52Zen
dc.date.available2015-08-04T07:13:52Zen
dc.date.issued2013-06en
dc.identifier.isbn9781467331227en
dc.identifier.issn15503607en
dc.identifier.doi10.1109/ICC.2013.6655322en
dc.identifier.urihttp://hdl.handle.net/10754/564725en
dc.description.abstractWe 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. © 2013 IEEE.en
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en
dc.relation.urlhttp://arxiv.org/abs/arXiv:1304.7457v1en
dc.titleOn the effect of correlated measurements on the performance of distributed estimationen
dc.typeConference Paperen
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Divisionen
dc.contributor.departmentElectrical Engineering Programen
dc.contributor.departmentCommunication Theory Laben
dc.identifier.journal2013 IEEE International Conference on Communications (ICC)en
dc.conference.date9 June 2013 through 13 June 2013en
dc.conference.name2013 IEEE International Conference on Communications, ICC 2013en
dc.conference.locationBudapesten
dc.contributor.institutionKing Fahd University of Petroleum and Minerals, Dhahran, Saudi Arabiaen
dc.identifier.arxividarXiv:1304.7457en
kaust.authorAhmed, Mohammeden
kaust.authorAl-Naffouri, Tareq Y.en
kaust.authorAlouini, Mohamed-Slimen
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