| Paper: | SAM-P5.7 | ||
| Session: | Sensor Networks | ||
| Time: | Wednesday, May 19, 15:30 - 17:30 | ||
| Presentation: | Poster | ||
| Topic: | Sensor Array and Multichannel Signal Processing: Data fusion from multiple sensor types | ||
| Title: | DECISION FUSION WITH CENSORED SENSORS | ||
| Authors: | Ruixiang Jiang; Syracuse University | ||
| Biao Chen; Syracuse University | |||
| Abstract: | Motivated by the sensor censoring idea, we consider in this paper a canonical decentralized detection problem with each sensor employing an on/off signaling scheme. Novel to the current work is the integration of the fading transmission channels in the fusion algorithm design. The on/off signaling, inaddition to its low communication overhead which is crucial to bandwidth limited applications, also enables the decision fusion being carried out without the knowledge of channel phase. Resorting to incoherent detection schemes, we develop optimal fusion rules for the following two scenarios: 1) when the fading channel envelopes are available at the fusion center; and 2) when only the fading statistic is available. Under the low signal-to-noise ratio regime, we further reduce the optimal fusion rule into simple nonlinearities that are both easy to implement and are not subject to prior knowledge constraint. | ||
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