Abstract
Stochastic resonance (SR) is an interesting phenomenon of noise-assisted signal transmission or signal processing through certain nonlinear systems. This paper discusses SR in nonlinear multiple signal detection for four representative noises based on a maximum a posterior probability (MAP) criterion. The performance of detection is assessed by the probability of detection error P er . When the signal is suprathreshold, the P er increases monotonously with the noise intensity and noise always degenerates signal detection. However, when the signal is subthreshold, the P er shows non-monotonous variations and noise can improve multiple signal detection, i.e., SR exists. The efficacy of SR is significantly improved and the minimum of P er can dramatically approach to zero as the sample number increases. These results extend the applicability of SR in multiple signal detection.
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Wang, Y., Hu, Q. (2011). Stochastic Resonance in Nonlinear Multiple Signal Detection for Four Representative Noises. In: Wu, Y. (eds) Advances in Computer, Communication, Control and Automation. Lecture Notes in Electrical Engineering, vol 121. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25541-0_77
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DOI: https://doi.org/10.1007/978-3-642-25541-0_77
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-25540-3
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