二维码（扫一下试试看！） | | 低频微弱信号高精度检测研究 | | Research on High Accurate Measurement for Low Frequency and Weak Signal | | | DOI：10.15918/j.tbit1001-0645.2019.424 | | 中文关键词:低频微弱信号检测系统信号处理脉搏信号 | | English Keywords:low frequency weak signaldetection systemsignal processingpulse signal | | 基金项目:国家部委基础科研资助项目（JCKY2017602C017） | | | 摘要点击次数:876 | | 全文下载次数:270 | | 中文摘要: | | 复杂环境下高精度检测低频微弱信号非常重要，本文针对目前低频微弱信号检测系统精度低、检测方法繁琐、仪器价格昂贵等问题，设计了一种用于500 Hz以下、幅值为0.01 nA或者mV级低频微弱信号高精度检测系统.对实际环境中低频微弱信号测量的噪声源及抗干扰措施进行了理论分析；其根据低频微弱信号特点和抗干扰措施设计了一种低频微弱信号高精度检测系统；最后，通过调试实验和人体脉搏信号测试验证了检测系统的性能.测试结果表明，该检测系统能够实现500 Hz以下、幅值为0.01 nA或者mV级的低频微弱信号检测，检测误差低于0.5%；人体脉搏信号检测输出信噪比为（60±2） dB，均方根误差小于5×10-4，信号细节特征信息完整.由此得出，该检测系统具有精度高、抗干扰性强、稳定性好、实用性强、操作简单、价格低廉等特点. | | English Summary: | | The measurement of low frequency weak signal (MLFWS), especially in complex circumstances, has universal application in contemporary research. In this paper, a high accurate detection system (HADS), used in MLFWS with an amplitude of 0.01 nA or mV below 500 Hz, has been designed, based on the shortcomings of MLFWS including low accuracy, complex procedures, expensive equipment and so on at present. First of all, the noise sources and anti-interference actions of MLFWS in real environments were analyzed theoretically; secondly, HADS, used in MLFWS, was designed, based on the characteristics of MLFWS and anti-interference measures; finally, the performances of HADS were tested by debugging and human-based pulse signal detection experiments. The results demonstrate that HADS could achieve the detection error of less 0.5%, in the MLFWS with amplitude of 0.01 nA or mV below 500 Hz.The signal and noise ratio (SNR)was(60±2 )dB, and root mean square error(RMSE) was less than 5×10-4, in the measurement of human-based pulse signal. In conclusion, HADS has excellent characteristics, including high accuracy, good anti-interference, stability, practicality, easy operation, low price and so on. | | 查看全文查看/发表评论下载PDF阅读器 | |
苏宇,蒋德富.非平稳噪声环境下LFMCW信号恒虚警检测算法研究[J].北京理工大学学报（自然科学版）,2020,40(3):339~346.SUYu,JIANGDe-fu.ResearchonFrequencyDomainCFARDetectionAlgorithmforLFMCWSignalinN ... 北京理工大学科研学术 本站小编 Free考研考试 2021-12-21陈强华,孔祥悦,刘斌超,张孟策,罗会甫,吕唯唯.基于磁光调制及基频信号检测的高精度波片测量[J].北京理工大学学报（自然科学版）,2020,40(5):461~465.CHENQiang-hua,KONGXiang-yue,LIUBin-chao,ZHANGMeng-ce,LUOHui-fu,LüW ... 北京理工大学科研学术 本站小编 Free考研考试 2021-12-21.北京理工大学学报2020年总目次（第40卷）[J].北京理工大学学报（自然科学版）,2020,40(12):1369~1386..[J].TransactionsofBeijingInstituteofTechnology,2020,40(12):1369-1386.二维码（扫一下试试看！）北京理 ... 北京理工大学科研学术 本站小编 Free考研考试 2021-12-21严迎建,郑震,郭朋飞,朱春生.一种检测S盒能量信息泄漏的t检验方法[J].北京理工大学学报（自然科学版）,2021,41(5):542~547.YANYingjian,ZHENGZhen,GUOPengfei,ZHUChunsheng.At-TestMethodforDetectingPowerIn ... 北京理工大学科研学术 本站小编 Free考研考试 2021-12-21李晨,梁书锋,刘传鹏,程健,刘殿书.基于改进的集合经验模态分解的爆破振动信号趋势项消除方法[J].北京理工大学学报（自然科学版）,2021,41(6):636~641.LIChen,LIANGShufeng,LIUChuanpeng,CHENGJian,LIUDianshu.TrendRemovin ... 北京理工大学科研学术 本站小编 Free考研考试 2021-12-21上官卫华,李烨,吴敏.穿戴式心电信号伪差识别算法的研究及应用[J].北京理工大学学报（自然科学版）,2021,41(6):665~670.SHANGGUANWeihua,LIYe,WUMin.ResearchandApplicationofArtifactIdentificationMethodfo ... 北京理工大学科研学术 本站小编 Free考研考试 2021-12-21沈斌松,秦建存.一种基于扩频信号的散射通信信噪比估计方法[J].北京理工大学学报（自然科学版）,2021,41(8):873~877.SHENBinsong,QINJiancun.ANovelSNREstimationMethodBasedonSpreadSpectrumSignalinTropos ... 北京理工大学科研学术 本站小编 Free考研考试 2021-12-21罗森林,杨俊楠,潘丽敏,吴舟婷.面向信息与通信技术供应链网络画像构建的文本语义匹配方法[J].北京理工大学学报（自然科学版）,2021,41(8):864~872.LUOSenlin,YANGJunnan,PANLimin,WUZhouting.TextSemanticMatchingMethodf ... 北京理工大学科研学术 本站小编 Free考研考试 2021-12-21陈越洋,何行宽,李晨瑶.基于Retinex理论的电子内镜图像增强算法[J].北京理工大学学报（自然科学版）,2021,41(9):985~989.CHENYueyang,HEXingkuan,LIChenyao.EndoscopicImageEnhancementBasedonRetinexTheo ... 北京理工大学科研学术 本站小编 Free考研考试 2021-12-21高原,施云惠,韩妍妍,曾萍,尹宝才.附加法向信息的三维网格预测编码[J].北京理工大学学报（自然科学版）,2019,39(1):88~94.GAOYuan,SHIYun-hui,HANYan-yan,ZENGPing,YINBao-cai.Compressionof3DMeshBasedonNorm ... 北京理工大学科研学术 本站小编 Free考研考试 2021-12-21
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