TY - JOUR
T1 - Power constrained distributed estimation with correlated sensor data
AU - Fang, Jun
AU - Li, Hongbin
PY - 2009
Y1 - 2009
N2 - We consider distributed estimation of a random scalar parameter in a power constrained wireless sensor network (WSN), where the measurements are sent from the sensors to the fusion center (FC) over noisy wireless channels by employing an analog transmission scheme. We study the power allocation problem with generally correlated sensor observations that can accommodate nonlinear measurement models and spatially correlated observation noise. An effective solution is developed by utilizing a tractable lower bound of the objective function. The proposed algorithm is also extended for random field estimation. Simulation results are presented to illustrate the effectiveness of the proposed algorithm.
AB - We consider distributed estimation of a random scalar parameter in a power constrained wireless sensor network (WSN), where the measurements are sent from the sensors to the fusion center (FC) over noisy wireless channels by employing an analog transmission scheme. We study the power allocation problem with generally correlated sensor observations that can accommodate nonlinear measurement models and spatially correlated observation noise. An effective solution is developed by utilizing a tractable lower bound of the objective function. The proposed algorithm is also extended for random field estimation. Simulation results are presented to illustrate the effectiveness of the proposed algorithm.
KW - Distributed estimation
KW - Power allocation
KW - Wireless sensor networks (WSNs)
UR - http://www.scopus.com/inward/record.url?scp=68249138328&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=68249138328&partnerID=8YFLogxK
U2 - 10.1109/TSP.2009.2020033
DO - 10.1109/TSP.2009.2020033
M3 - Article
AN - SCOPUS:68249138328
SN - 1053-587X
VL - 57
SP - 3292
EP - 3297
JO - IEEE Transactions on Signal Processing
JF - IEEE Transactions on Signal Processing
IS - 8
ER -