Distributed Detection with Common Observations

Authors

Hao Chen, Boise State UniversityFollow
Tsang-Yi Wang, National Sun Yat-Sen University

Document Type

Conference Proceeding

Publication Date

5-26-2013

DOI

http://dx.doi.org/10.1109/ICASSP.2013.6638677

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 X₂, sensors 1 and 2 possess their conditionally independent measurements X₁ and X₃, 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.

Publication Information

Chen, Hao and Wang, Tsang-Yi. (2013). "Distributed Detection with Common Observations". 2013 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 5313-5317.