基于变尺度随机共振的低信噪比信号检测方法OA
Signal Detection Method With Low Signal-to-noise Ratio Based on Variable Scale Random Resonance
为提高电力线载波通信质量,文章提出一种基于变尺度随机共振系统的低信噪比信号检测方法.首先引入变尺度机制,实现了高频信号与随机共振系统的结合,同时运用随机梯度下降算法参数寻优,快速找出最佳参数,大幅提升信号处理性能.经仿真验证,在低信噪比环境下,变尺度随机共振系统能够有效提取高频信号中的特征频率;以正交频分复用信号为例,在信噪比为0dB的噪声背景下,误码率由0.504 739降至0.000 292 773,误码率降低了3个数量级.最后分析了该方法对信号相位的影响,经过随机共振处理以后相位差优于没有经过随机共振处理的相位差.这一系列结果验证了该方法在电力线载波通信场景下的可行性和有效性.
To improve the quality of power line carrier communication,a low signal-to-noise ratio signal detection method based on variable-scale random resonance system is proposed.A variable scale mechanism combines high-frequency signals with the random resonance system,and SGD algorithm optimizes parameters for better signal processing.Simulations show this system can efficiently extract eigenfrequencies from high-frequency signals,especially in low-SNR environments.OFDM signal at 0 dB SNR,the bit error rate drops from 0.504 739 to 0.000 292 773,a reduction of three orders of magnitude.Ultimately,an analysis is conducted to examine the impact of the introduced methodology on the signal phase and the phase difference after random resonance processing is better than that without random resonance processing.The feasibility and efficacy of the proposed method have been confirmed through this series of results in the context of power line carrier communication applications.
马海杰;何继兰;胡正伟
华北电力大学电子与通信工程系,河北省保定市 071003||河北省电力物联网技术重点实验室,河北省保定市 071003华北电力大学电子与通信工程系,河北省保定市 071003华北电力大学电子与通信工程系,河北省保定市 071003||河北省互感器技术创新中心,河北省保定市 071003
信息技术与安全科学
随机共振变尺度随机梯度下降算法高频微弱信号电力线载波通信
stochastic resonancevariable scaleSGD algorithmhigh frequency weak signalpower line carrier communication
《电力信息与通信技术》 2026 (3)
17-25,9
国家自然基金面上项目(52177083)河北省科技重大专项项目(23281701Z)河北省省级科技计划支持(SZX2020034).
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