Cong Wang, Zhongqiu Wang, Jianhua Yang, Miguel A. F. Sanjuán, Gong Tao, Zhen Shan, Mengen Shen
{"title":"Multiple stochastic resonances and inverse stochastic resonances in asymmetric bistable system under the ultra-high frequency excitation","authors":"Cong Wang, Zhongqiu Wang, Jianhua Yang, Miguel A. F. Sanjuán, Gong Tao, Zhen Shan, Mengen Shen","doi":"arxiv-2405.07804","DOIUrl":null,"url":null,"abstract":"Ultra-high frequency linear frequency modulation (UHF-LFM) signal, as a kind\nof typical non-stationary signal, has been widely used in microwave radar and\nother fields, with advantages such as long transmission distance, strong\nanti-interference ability, and wide bandwidth. Utilizing optimal dynamics\nresponse has unique advantages in weak feature identification under strong\nbackground noise. We propose a new stochastic resonance method in an asymmetric\nbistable system with the time-varying parameter to handle this special\nnon-stationary signal. Interestingly, the nonlinear response exhibits multiple\nstochastic resonances (MSR) and inverse stochastic resonances (ISR) under\nUHF-LFM signal excitation, and some resonance regions may deviate or collapse\ndue to the influence of system asymmetry. In addition, we analyze the responses\nof each resonance region and the mechanism and evolution law of each resonance\nregion in detail. Finally, we significantly expand the resonance region within\nthe parameter range by optimizing the time scale, which verifies the\neffectiveness of the proposed time-varying scale method. The mechanism and\nevolution law of MSR and ISR will provide references for researchers in related\nfields.","PeriodicalId":501305,"journal":{"name":"arXiv - PHYS - Adaptation and Self-Organizing Systems","volume":"160 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - PHYS - Adaptation and Self-Organizing Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2405.07804","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Ultra-high frequency linear frequency modulation (UHF-LFM) signal, as a kind
of typical non-stationary signal, has been widely used in microwave radar and
other fields, with advantages such as long transmission distance, strong
anti-interference ability, and wide bandwidth. Utilizing optimal dynamics
response has unique advantages in weak feature identification under strong
background noise. We propose a new stochastic resonance method in an asymmetric
bistable system with the time-varying parameter to handle this special
non-stationary signal. Interestingly, the nonlinear response exhibits multiple
stochastic resonances (MSR) and inverse stochastic resonances (ISR) under
UHF-LFM signal excitation, and some resonance regions may deviate or collapse
due to the influence of system asymmetry. In addition, we analyze the responses
of each resonance region and the mechanism and evolution law of each resonance
region in detail. Finally, we significantly expand the resonance region within
the parameter range by optimizing the time scale, which verifies the
effectiveness of the proposed time-varying scale method. The mechanism and
evolution law of MSR and ISR will provide references for researchers in related
fields.