Binary modulated signal detection in a bistable receiver with stochastic resonance

Fabing Duan and Derek Abbott

Physica A: Statistical Mechanics and its Applications, 2007, vol. 376, issue C, 173-190

Abstract: The archetypal bistable system can act as a nonlinear receiver for detecting binary signals modulated by amplitude, frequency, or phase. The introduction of noise enhances signal detection for a certain range of noise intensity, which is ascribed to non-conventional stochastic resonance (SR) phenomena, such as residual aperiodic SR and short-time SR. For the first time, we unify binary modulated signal detection from the point of view of an approximate probability density model. We develop both theoretical and numerical analyses of the receiver performance for each type of modulated signal. The optimization of receiver parameters and comparisons of the optimal bistable receiver versus the linear matched filter are also investigated. An interesting result is that the probability density model enables us to explore the SR range of noise intensity and the optimally-tuned bistable receiver theoretically, which may play a prominent role for nonlinear systems performing in noisy conditions.

Keywords: Bistable receiver; Residual aperiodic stochastic resonance; Short-time stochastic resonance; Receiver response speed; Signal detection (search for similar items in EconPapers)
Date: 2007
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0378437106011125
Full text for ScienceDirect subscribers only. Journal offers the option of making the article available online on Science direct for a fee of $3,000

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:376:y:2007:i:c:p:173-190

DOI: 10.1016/j.physa.2006.10.046

Access Statistics for this article

Physica A: Statistical Mechanics and its Applications is currently edited by K. A. Dawson, J. O. Indekeu, H.E. Stanley and C. Tsallis

More articles in Physica A: Statistical Mechanics and its Applications from Elsevier
Bibliographic data for series maintained by Catherine Liu ().