Low power detection using stochastic resonance

Abstract

Mobile communications dictates the use of low power detection and estimation algorithms to prolong the battery life. We present a very low power detection scheme and evaluate its performance. This scheme can be used instead of the optimal quantized detectors when the noise variance, or other problem parameters, are unknown or change online. This detector uses an adaptive discrete time stochastic resonator that consists of a simple Schmitt trigger. Theoretical results evaluating the detection capability of such a device are presented, and simulations show an improvement in the detection probability over other low power schemes.