Research Article
Analysis of Optimal Gain of MPSK Signal Based on BSR
@INPROCEEDINGS{10.1007/978-3-030-90196-7_43, author={ZhiChong Shen and JinQuan Ma and Di Yang and XiaoLong Shen}, title={Analysis of Optimal Gain of MPSK Signal Based on BSR}, proceedings={Artificial Intelligence for Communications and Networks. Third EAI International Conference, AICON 2021, Xining, China, October 23--24, 2021, Proceedings, Part I}, proceedings_a={AICON}, year={2021}, month={11}, keywords={Stochastic resonance Signal processing Bistable system}, doi={10.1007/978-3-030-90196-7_43} }- ZhiChong Shen
JinQuan Ma
Di Yang
XiaoLong Shen
Year: 2021
Analysis of Optimal Gain of MPSK Signal Based on BSR
AICON
Springer
DOI: 10.1007/978-3-030-90196-7_43
Abstract
Bistable Stochastic Resonance (BSR) system is a nonlinear system. When the noise variance of the noisy periodic signal has a certain relationship with the signal, after the noisy signal passes through the system, the noise energy can be partially converted to the signal energy, thus providing a means of signal enhancement. Later, with the introduction of the Aperiodic Stochastic Resonance (ASR) system theory, the stochastic resonance theory can be applied to the field of communication. At present, the most application of stochastic resonance in communication is in binary modulation signal area. This paper will be discussing the enhanced effect of stochastic resonance on the multi-ary phase modulation signal, deriving the expression of the MPSK signal power after resonance, and proving that the signal power spectral density after stochastic resonance has no effect on phase. Defining the signal-to-noise ratio’s gain and amplitude’s gain, and giving the range of the gain and the maximum value of the gain that stochastic resonance can improve the signal-to-noise ratio when the signal amplitude and signal carrier frequency are determined.
