An OFDM Signal Enhancement and Demodulation Method Based on Segmented Asymmetric Bistable Stochastic Resonance
To address the output saturation issue in classical bistable stochastic resonance systems during the enhancement of weak orthogonal frequency division multiplexing (OFDM) signals, which results in low noise utilization efficiency, this study proposes an enhancement and demodulation technique based o...
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IEEE
2025-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/10847834/ |
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| author | Gaohui Liu Xiaqiang Chu |
| author_facet | Gaohui Liu Xiaqiang Chu |
| author_sort | Gaohui Liu |
| collection | DOAJ |
| description | To address the output saturation issue in classical bistable stochastic resonance systems during the enhancement of weak orthogonal frequency division multiplexing (OFDM) signals, which results in low noise utilization efficiency, this study proposes an enhancement and demodulation technique based on a segmented asymmetric bistable stochastic resonance (SABSR) system. The SABSR model is developed by integrating a classical bistable SR system with a linear function and introducing an asymmetry factor. Using the adiabatic approximation theory, the Kramers escape rate and output signal-to-noise ratio (SNR) of the SABSR system are derived and analyzed. Additionally, transient response expressions for the left and right wells, as well as steady-state response expressions under OFDM signal input, are formulated, and the influence of the asymmetry factor on transient responses is thoroughly investigated. The SABSR system is then applied to OFDM signal enhancement and demodulation, with SNR gain used as the optimization metric. The quantum particle swarm optimization algorithm is employed to fine-tune system parameters. Simulation results demonstrate that, at an input SNR of 8 dB, the SABSR system achieves a bit error rate (BER) approximately 30% lower than that of the segmented symmetric system, significantly improving OFDM signal detection and demodulation performance. |
| format | Article |
| id | doaj-art-ff412b81ebd147b49923e6297838d3d8 |
| institution | Kabale University |
| issn | 2169-3536 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | IEEE |
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| series | IEEE Access |
| spelling | doaj-art-ff412b81ebd147b49923e6297838d3d82025-01-31T00:02:06ZengIEEEIEEE Access2169-35362025-01-0113187011871210.1109/ACCESS.2025.353192410847834An OFDM Signal Enhancement and Demodulation Method Based on Segmented Asymmetric Bistable Stochastic ResonanceGaohui Liu0https://orcid.org/0009-0001-2386-9839Xiaqiang Chu1https://orcid.org/0009-0007-7006-0307School of Automation and Information Engineering, Xi’an University of Technology, Xi’an, ChinaSchool of Automation and Information Engineering, Xi’an University of Technology, Xi’an, ChinaTo address the output saturation issue in classical bistable stochastic resonance systems during the enhancement of weak orthogonal frequency division multiplexing (OFDM) signals, which results in low noise utilization efficiency, this study proposes an enhancement and demodulation technique based on a segmented asymmetric bistable stochastic resonance (SABSR) system. The SABSR model is developed by integrating a classical bistable SR system with a linear function and introducing an asymmetry factor. Using the adiabatic approximation theory, the Kramers escape rate and output signal-to-noise ratio (SNR) of the SABSR system are derived and analyzed. Additionally, transient response expressions for the left and right wells, as well as steady-state response expressions under OFDM signal input, are formulated, and the influence of the asymmetry factor on transient responses is thoroughly investigated. The SABSR system is then applied to OFDM signal enhancement and demodulation, with SNR gain used as the optimization metric. The quantum particle swarm optimization algorithm is employed to fine-tune system parameters. Simulation results demonstrate that, at an input SNR of 8 dB, the SABSR system achieves a bit error rate (BER) approximately 30% lower than that of the segmented symmetric system, significantly improving OFDM signal detection and demodulation performance.https://ieeexplore.ieee.org/document/10847834/Stochastic resonancesegmented asymmetric systemnon-saturationweak OFDM signals |
| spellingShingle | Gaohui Liu Xiaqiang Chu An OFDM Signal Enhancement and Demodulation Method Based on Segmented Asymmetric Bistable Stochastic Resonance IEEE Access Stochastic resonance segmented asymmetric system non-saturation weak OFDM signals |
| title | An OFDM Signal Enhancement and Demodulation Method Based on Segmented Asymmetric Bistable Stochastic Resonance |
| title_full | An OFDM Signal Enhancement and Demodulation Method Based on Segmented Asymmetric Bistable Stochastic Resonance |
| title_fullStr | An OFDM Signal Enhancement and Demodulation Method Based on Segmented Asymmetric Bistable Stochastic Resonance |
| title_full_unstemmed | An OFDM Signal Enhancement and Demodulation Method Based on Segmented Asymmetric Bistable Stochastic Resonance |
| title_short | An OFDM Signal Enhancement and Demodulation Method Based on Segmented Asymmetric Bistable Stochastic Resonance |
| title_sort | ofdm signal enhancement and demodulation method based on segmented asymmetric bistable stochastic resonance |
| topic | Stochastic resonance segmented asymmetric system non-saturation weak OFDM signals |
| url | https://ieeexplore.ieee.org/document/10847834/ |
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