@inproceedings{c0ebaf96f1a34027be03e50f96e1debe,
title = "Distributed Detection with Common Observations",
abstract = " Distributed detection with dependent observations is always a challenging problem. In this paper, we consider a special dependent case where sensors share some common information. Specifically, we investigate a tandem network with sensor 1 sending a one-bit decision to sensor 2 where the final decision is made. Along with their common observation X 2 , sensors 1 and 2 possess their conditionally independent measurements X 1 and X 3 , respectively. After obtaining the relationship between the optimal sensor 1 rule and sensor 2 fusion rule, we derive the necessary condition for the optimal sensor decision rules for both sensors. We compare the optimal rules with two suboptimal rules for distributed detection of a constant DC signal in Gaussian noise with various of signal-to-noise ratios.",
keywords = "Common Information, Conditionally Dependent Observations, Distributed Detection, Tandem Network",
author = "Hao Chen and Tsang-Yi Wang",
year = "2013",
doi = "10.1109/ICASSP.2013.6638677",
language = "American English",
series = "IEEE International Conference on Acoustics, Speech and Signal Processing",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "5313--5317",
booktitle = "IEEE International Conference on Acoustics, Speech and Signal Processing",
address = "United States",
}