TY - GEN
T1 - Distributed classification under statistical dependence with application to automatic modulation classification
AU - He, Hao
AU - Choi, Sora
AU - Varshney, Pramod K.
AU - Su, Wei
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2015/9/14
Y1 - 2015/9/14
N2 - In this paper, we consider the distributed classification of discrete random signals in wireless sensor networks (WSNs). Observing the same random signal makes sensors' observations conditionally dependent which complicates the design of distributed classification systems. In the literature, this dependence has been ignored for simplicity although this may significantly affect the performance of the classification system. We derive the necessary conditions for the optimal decision rules at the sensors and the fusion center (FC) by introducing a 'hidden' random variable. Furthermore, we introduce an iterative algorithm to search for the optimal decision rules. The proposed scheme is applied to a distributed Automatic Modulation Classification (AMC) problem. It is shown to attain superior performance in comparison with other approaches which disregard the inter-sensor dependence.
AB - In this paper, we consider the distributed classification of discrete random signals in wireless sensor networks (WSNs). Observing the same random signal makes sensors' observations conditionally dependent which complicates the design of distributed classification systems. In the literature, this dependence has been ignored for simplicity although this may significantly affect the performance of the classification system. We derive the necessary conditions for the optimal decision rules at the sensors and the fusion center (FC) by introducing a 'hidden' random variable. Furthermore, we introduce an iterative algorithm to search for the optimal decision rules. The proposed scheme is applied to a distributed Automatic Modulation Classification (AMC) problem. It is shown to attain superior performance in comparison with other approaches which disregard the inter-sensor dependence.
KW - automatic modulation classification
KW - dependent observations
KW - distributed classification
KW - wireless sensor networks
UR - http://www.scopus.com/inward/record.url?scp=84960472156&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84960472156&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:84960472156
T3 - 2015 18th International Conference on Information Fusion, Fusion 2015
SP - 1597
EP - 1602
BT - 2015 18th International Conference on Information Fusion, Fusion 2015
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 18th International Conference on Information Fusion, Fusion 2015
Y2 - 6 July 2015 through 9 July 2015
ER -