Non-Gaussian noise benefits for coherent detection of narrowband weak signal |
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| Affiliation: | 1. Institute of Complexity Science, Qingdao University, Qingdao 266071, PR China;2. Laboratoire Angevin de Recherche en Ingénierie des Systèmes (LARIS), Université d''Angers, 62 avenue Notre Dame du Lac, 49000 Angers, France;3. Centre for Biomedical Engineering (CBME) and School of Electrical & Electronic Engineering, The University of Adelaide, Adelaide, SA 5005, Australia |
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| Abstract: | In an ad hoc suboptimal detector, the benefits of non-Gaussian noise to narrowband weak signal detection are demonstrated. Particularly, for a noise envelope with a Rice distribution, we can improve the detector performance by tuning threshold parameter but keeping noise level, or increasing the noise level for a fixed threshold. It is verified that, under certain circumstances, the optimal detection probability achieved by tuning noise level is superior to that obtained by optimizing the detector threshold. |
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| Keywords: | Noise benefit Narrowband signal detection Rice distribution Stochastic resonance |
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