On performance of individual, collective and network detection of propagative sources

摘要: We consider the problem of detecting a propagative source amidst background levels based on passive sensor measurements. The intensity decays with distance according to known functional form, and measurements are random parameters determined by at location capture area sensor. It is generally expected that collection sensors offers better detection performance compared an individual due larger “aggregated” area. show further improvements in when networked communicate their information fusion center support efficient localization. If can be effectively localized, we establish superior network over cases collective sensors, for class methods probability ratio tests. Our method first localizing source, then utilizing adaptive test uses estimated infer detection. Under fairly general conditions decay functions underlying measurement distributions, analytically quantify co-located using packing number state space. these satisfied case radiation present simulation experimental results illustrate