TY - GEN
T1 - On optimal fusion architecture for a two-sensor tandem distributed detection system
AU - Akofor, Earnest
AU - Chen, Biao
PY - 2013
Y1 - 2013
N2 - The paper revisits the classical problem of determining the optimal communication direction in a two-sensor fusion system. For the problem of signal detection in additive Gaussian noises, the paper attempts to reconcile the difference in existing literature about which sensor ought to serve as the fusion center for optimal detection performance. While there has been no general conclusion as to which direction is preferred for general detection problems, we establish that for the aforementioned Gaussian problem, having the better sensor, i.e., the sensor with higher signal to noise power ratio, serving as the fusion center is preferred for better detection performance. This is true for the cases of both deterministic signal detection and the Gaussian random signal detection.
AB - The paper revisits the classical problem of determining the optimal communication direction in a two-sensor fusion system. For the problem of signal detection in additive Gaussian noises, the paper attempts to reconcile the difference in existing literature about which sensor ought to serve as the fusion center for optimal detection performance. While there has been no general conclusion as to which direction is preferred for general detection problems, we establish that for the aforementioned Gaussian problem, having the better sensor, i.e., the sensor with higher signal to noise power ratio, serving as the fusion center is preferred for better detection performance. This is true for the cases of both deterministic signal detection and the Gaussian random signal detection.
KW - Bayesian decision
KW - Communication direction
KW - Dependent observations
KW - Distributed detection
UR - http://www.scopus.com/inward/record.url?scp=84897696283&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84897696283&partnerID=8YFLogxK
U2 - 10.1109/GlobalSIP.2013.6736832
DO - 10.1109/GlobalSIP.2013.6736832
M3 - Conference contribution
AN - SCOPUS:84897696283
SN - 9781479902484
T3 - 2013 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2013 - Proceedings
SP - 129
EP - 132
BT - 2013 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2013 - Proceedings
T2 - 2013 1st IEEE Global Conference on Signal and Information Processing, GlobalSIP 2013
Y2 - 3 December 2013 through 5 December 2013
ER -