Optimal suprathreshold stochastic resonance based nonlinear detector

Abstract

Stochastic resonance and suprathreshold stochastic resonance are nonlinear phenomena that yield a non-monotonic variation of system performance measures such as SNR gain, with respect to input noise variance [1, 2]. There exists an optimal strength of the added noise at which the performance measure is maximised. In this work, an analytical method is proposed to find the optimal input noise variance to be added to the array of quantizers in an SSR detector to optimize the performance. The theory is verified experimentally for different noise environments and added SSR noise.