Performance analysis of a suprathreshold stochastic resonance based nonlinear detector

Roy, Vijayendra Mohan ; Anand , G. V. (2006) Performance analysis of a suprathreshold stochastic resonance based nonlinear detector Nonlinear Statistical Signal Processing Workshop, 2006 IEEE . pp. 13-16.

Full text not available from this repository.

Official URL: http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arn...

Related URL: http://dx.doi.org/10.1109/NSSPW.2006.4378809

Abstract

In this paper we introduce a nonlinear detector based on the phenomenon of suprathreshold stochastic resonance (SSR). We first present a model (an array of 1-bit quantizers) that demonstrates the SSR phenomenon. We then use this as a pre-processor to the conventional matched filter. We employ the Neyman-Pearson(NP) detection strategy and compare the performances of the matched filter, the SSR-based detector and the optimal detector. Although the proposed detector is non-optimal, for non-Gaussian noises with heavy tails (leptokurtic) it shows better performance than the matched filter. In situations where the noise is known to be leptokurtic without the availability of the exact knowledge of its distribution, the proposed detector turns out to be a better choice than the matched filter.

Item Type:Article
Source:Copyright of this article belongs to IEEE.
ID Code:89753
Deposited On:30 Apr 2012 14:53
Last Modified:30 Apr 2012 14:53

Repository Staff Only: item control page