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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Villard, J. Bianchi, P. |
| Copyright Year | 2010 |
| Description | Author affiliation: SUPELEC, Telecom. Dpt., Gif-sur-Yvette, France (Villard, J.) || LTCI Telecom Paristech, France (Bianchi, P.) |
| Abstract | This paper investigates the decentralized detection of spatially correlated processes using the Neyman-Pearson test. We consider a network formed by a large number of sensors, each of them observing a random data vector. Sensors' observations are non-independent, but form a stationary process verifying mixing conditions. Each vector-valued observation is quantized before being transmitted to a fusion center which makes the final decision. For any false alarm level, it is shown that the miss probability of the Neyman-Pearson test converges to zero exponentially as the number of sensors tends to infinity. A compact closed-form expression of the error exponent is provided in the high-rate regime i.e., when fine quantization is applied. As an application, our results allow to determine relevant quantization strategies which lead to large error exponents. |
| Starting Page | 1608 |
| Ending Page | 1612 |
| File Size | 189521 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781424478903 |
| e-ISBN | 9781424478927 |
| e-ISBN | 9781424478910 |
| DOI | 10.1109/ISIT.2010.5513402 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-06-13 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Vector quantization Testing Wireless sensor networks H infinity control Degradation Telecommunications Hidden Markov models Closed-form solution Stochastic processes Sensor fusion |
| Content Type | Text |
| Resource Type | Article |
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