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Distributed Signal Detection under the Neyman-Pearson Criterion (2001)
| Content Provider | CiteSeerX |
|---|---|
| Author | Yan, Qing Blum, Rick S. |
| Abstract | A procedure for finding the Neyman-Pearson optimum distributed sensor detectors for cases with statistically dependent observations is described. This is the first valid procedure we have seen for this case. This procedure is based on a Theorem proven in this paper. These results clarify and correct a number of possibly misleading discussions in the existing literature. Cases with networks of sensors in fairly general configurations are considered along with cases where the sensor detectors make multiple bit sensor decisions. Keywords: Neyman-Pearson criterion, multisensor, correlated observations. This paper is based on work supported by the Office of Naval Research under Grant No. N00014-97-10774 and by the National Science Foundation under Grant No. MIP-9703730 1 1 Introduction Consider the design of an N-sensor distributed detection scheme, which is to decide between a simple signal-present alternative hypothesis H 1 and a simple null hypothesis H 0 . Each sensor has an associ... |
| File Format | |
| Volume Number | 47 |
| Journal | IEEE Transactions on Information Theory |
| Language | English |
| Publisher Date | 2001-01-01 |
| Access Restriction | Open |
| Subject Keyword | Neyman-pearson Criterion Signal Detection Sensor Detector Simple Null Hypothesis First Valid Procedure Neyman-pearson Optimum Multiple Bit Sensor Decision Dependent Observation General Configuration N-sensor Distributed Detection Scheme Theorem Proven Naval Research National Science Foundation Simple Signal-present Alternative Hypothesis Existing Literature |
| Content Type | Text |
| Resource Type | Article |