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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Fonseca, B.J.B. Gubner, J.A. |
| Copyright Year | 2009 |
| Description | Author affiliation: Dept. of Electrical and Computer Engineering of the University of Wisconsin-Madison, USA (Gubner, J.A.) || Motorola Applied Research and Technology Center and with the Dept. of Electrical and Computer Engineering of the University of Wisconsin-Madison, USA (Fonseca, B.J.B.) |
| Abstract | This paper studies large distributed detection systems that are constrained to use local sample detectors in which sensors produce a binary output by comparing the measurement sample against a threshold. We focus on the problem of choosing between two system design options: spend resources to find optimum local thresholds or deploy additional sensors to compensate for non-optimum thresholds. To provide guidance for this decision, we determine sufficient conditions on the noise distribution to ensure that the overdeployment ratio required by the second option decreases to 1 as the signal-to-noise ratio decreases. We further illustrate that this conclusion is not reached by many noise distributions, including the uniform distribution. |
| Starting Page | 787 |
| Ending Page | 792 |
| File Size | 154002 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781424427338 |
| DOI | 10.1109/CISS.2009.5054825 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-03-18 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Performance evaluation Measurement Sufficient conditions Detectors Communication channels Sensor fusion Cost function Sensor systems Random variables Signal to noise ratio |
| Content Type | Text |
| Resource Type | Article |
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