Generalized energy detector for weak random signals via vibrational resonance
作者： Yuhao Ren , Yan Pan , Fabing Duan
DOI: 10.1016/J.PHYSLETA.2018.01.015
关键词:
摘要: Abstract In this paper, the generalized energy (GE) detector is investigated for detecting weak random signals via vibrational resonance (VR). By artificially injecting high-frequency sinusoidal interferences into an array of GE statistics formed detector, we show that normalized asymptotic efficacy can be maximized when interference intensity takes appropriate non-zero value. It demonstrated dead-zone-limiter aided by VR mechanism, outperforms without help interferences. Moreover, maximum detectors approach a quarter second-order Fisher information wide range non-Gaussian noise types.
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