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Content Provider | IEEE Xplore Digital Library |
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Author | Hao Chen Tsang-Yi Wang |
Copyright Year | 2013 |
Description | Author affiliation: Inst. of Commun. Eng., Nat. Sun Yat-sen Univ., Kaohsiung, Taiwan (Tsang-Yi Wang) || Dept. of Electr. & Comput. Eng., Boise State Univ., Boise, ID, USA (Hao Chen) |
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. |
Starting Page | 5313 |
Ending Page | 5317 |
File Size | 223667 |
Page Count | 5 |
File Format | |
ISBN | 9781479903566 |
ISSN | 15206149 |
DOI | 10.1109/ICASSP.2013.6638677 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2013-05-26 |
Publisher Place | Canada |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Sensor fusion Signal to noise ratio Sensor systems Gaussian noise Testing Optimization Conditionally Dependent Observations Distributed Detection Common Information Tandem Network |
Content Type | Text |
Resource Type | Article |
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