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The authors consider a detection network of sensors that measure intensity levels due to a source amidst background inside a two-dimensional monitoring area. The source intensity decays away from it possibly in discrete jumps, and the corresponding sensor measurements could be random due to the nature of source and background, or due to sensor errors, or both. The detection problem is to infer the presence of a source based on sensor measurements. In the conventional decision/detection fusion approach, detection decisions are made at the individual sensors using Sequential Probability Ratio Test (SPRT), and are combined at the fusion center using a Boolean fusion rule.
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