Open AccessPerformance analysis of a parameter‐tuned bistable parallel array system for binary pulse amplitude modulation signal processing
Author(s) -
Liang Linlin,
Zhang Nina,
Huang Haiyan,
Wang Danyang,
Li Zan
Publication year - 2019
Publication title -
iet communications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.355
H-Index - 62
eISSN - 1751-8636
pISSN - 1751-8628
DOI - 10.1049/iet-com.2018.5747
Subject(s) - bistability , pulse amplitude modulation , probability density function , stochastic resonance , signal (programming language) , amplitude , binary number , physics , noise (video) , signal to noise ratio (imaging) , modulation (music) , bit error rate , pulse (music) , computer science , mathematics , algorithm , acoustics , optics , statistics , decoding methods , detector , optoelectronics , arithmetic , artificial intelligence , image (mathematics) , programming language
In order to improve the signal‐to‐noise ratio (SNR) gain and lower the bit error rate (BER) when a weak signal is buried in the noise, the parameter‐tuned stochastic resonator (PSR) is studied in more detail. In this study, the authors explore the impact of the number of branches on performance. Hence, they build the parameter‐tuned bistable parallel array system, which consists of a group of PSRs and propose a novel method to derive the probability density function (PDF) of the output signal, which combines the conventional PDF based on the approximation theory with Gaussian distribution. Based on this method, an analytical expression for BER of the system is derived. It is of interest to note that for an input binary pulse amplitude modulation signal buried in noise, the weak signal can be detected by using the parameter‐tuned bistable parallel array system. It is found that via the array PSR effect, the system output SNR gain can be improved. Moreover, the BER can also be reduced with the increase of the array size as the array size increases.