Stochastic Resonance in an Underdamped System with Pinning Potential for Weak Signal Detection
Stochastic resonance (SR) has been proved to be an effective approach for weak sensor signal detection. This study presents a new weak signal detection method based on a SR in an underdamped system, which consists of a pinning potential model. The model was firstly discovered from magnetic domain wa...
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| Format: | Article |
| Language: | English |
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MDPI AG
2015-08-01
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| Series: | Sensors |
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| Online Access: | http://www.mdpi.com/1424-8220/15/9/21169 |
| _version_ | 1811307188190183424 |
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| author | Haibin Zhang Qingbo He Fanrang Kong |
| author_facet | Haibin Zhang Qingbo He Fanrang Kong |
| author_sort | Haibin Zhang |
| collection | DOAJ |
| description | Stochastic resonance (SR) has been proved to be an effective approach for weak sensor signal detection. This study presents a new weak signal detection method based on a SR in an underdamped system, which consists of a pinning potential model. The model was firstly discovered from magnetic domain wall (DW) in ferromagnetic strips. We analyze the principle of the proposed underdamped pinning SR (UPSR) system, the detailed numerical simulation and system performance. We also propose the strategy of selecting the proper damping factor and other system parameters to match a weak signal, input noise and to generate the highest output signal-to-noise ratio (SNR). Finally, we have verified its effectiveness with both simulated and experimental input signals. Results indicate that the UPSR performs better in weak signal detection than the conventional SR (CSR) with merits of higher output SNR, better anti-noise and frequency response capability. Besides, the system can be designed accurately and efficiently owing to the sensibility of parameters and potential diversity. The features also weaken the limitation of small parameters on SR system. |
| first_indexed | 2024-04-13T08:59:57Z |
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| id | doaj.art-854bd2ec703149e4832d78e3a22aef61 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-04-13T08:59:57Z |
| publishDate | 2015-08-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-854bd2ec703149e4832d78e3a22aef612022-12-22T02:53:10ZengMDPI AGSensors1424-82202015-08-01159211692119510.3390/s150921169s150921169Stochastic Resonance in an Underdamped System with Pinning Potential for Weak Signal DetectionHaibin Zhang0Qingbo He1Fanrang Kong2Department of Precision Machinery and Precision Instrumentation, University of Science and Technology of China, Hefei 230026, ChinaDepartment of Precision Machinery and Precision Instrumentation, University of Science and Technology of China, Hefei 230026, ChinaDepartment of Precision Machinery and Precision Instrumentation, University of Science and Technology of China, Hefei 230026, ChinaStochastic resonance (SR) has been proved to be an effective approach for weak sensor signal detection. This study presents a new weak signal detection method based on a SR in an underdamped system, which consists of a pinning potential model. The model was firstly discovered from magnetic domain wall (DW) in ferromagnetic strips. We analyze the principle of the proposed underdamped pinning SR (UPSR) system, the detailed numerical simulation and system performance. We also propose the strategy of selecting the proper damping factor and other system parameters to match a weak signal, input noise and to generate the highest output signal-to-noise ratio (SNR). Finally, we have verified its effectiveness with both simulated and experimental input signals. Results indicate that the UPSR performs better in weak signal detection than the conventional SR (CSR) with merits of higher output SNR, better anti-noise and frequency response capability. Besides, the system can be designed accurately and efficiently owing to the sensibility of parameters and potential diversity. The features also weaken the limitation of small parameters on SR system.http://www.mdpi.com/1424-8220/15/9/21169underdamped stochastic resonancepotential modelnonlinear filterweak signal detectionfault diagnosis |
| spellingShingle | Haibin Zhang Qingbo He Fanrang Kong Stochastic Resonance in an Underdamped System with Pinning Potential for Weak Signal Detection Sensors underdamped stochastic resonance potential model nonlinear filter weak signal detection fault diagnosis |
| title | Stochastic Resonance in an Underdamped System with Pinning Potential for Weak Signal Detection |
| title_full | Stochastic Resonance in an Underdamped System with Pinning Potential for Weak Signal Detection |
| title_fullStr | Stochastic Resonance in an Underdamped System with Pinning Potential for Weak Signal Detection |
| title_full_unstemmed | Stochastic Resonance in an Underdamped System with Pinning Potential for Weak Signal Detection |
| title_short | Stochastic Resonance in an Underdamped System with Pinning Potential for Weak Signal Detection |
| title_sort | stochastic resonance in an underdamped system with pinning potential for weak signal detection |
| topic | underdamped stochastic resonance potential model nonlinear filter weak signal detection fault diagnosis |
| url | http://www.mdpi.com/1424-8220/15/9/21169 |
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