微弱信号检测系统论文

吕进.施 秧.刘辉军.赵鑫祥.庄松林. 基于NIR的茶叶成分检测仪的设计与实现, 光电工程,2010年,Vol37(1):82-87, 吕进.赵鑫祥.刘辉军.施秧.张建庭. 基于近红外光谱的茶叶成分检测仪的软件研制，仪器仪表学报,Vol.30, No.11, 2009.11. P.1621 周扬，吕进，刘铁兵，施秧，戴曙光，小波域高斯混合模型方差估计近红外降噪方法，光电工程,2011年,Vol38(8):96-100 胡小邦.吕进等，基于近红外透射光谱的黄酒酒精度、酸度检测模型研究，光电工程,2010年,Vol37(10):122-127 张建庭,吕进等. 基于聚类分析的局部建模方法在茶叶近红外光谱分析模型中的应用. 理化检验（化学分册）.2010(2) 张洪军.吕进. 多普勒全场测速技术的进展[J]，力学进展，2007. Vol.37(03): 428-442 施秧.吕进. 双通道红外光谱微弱信号检测系统设计.激光与红外. 2007. 37 (11). 刘辉军,吕进等. 基于遗传算法的波长选择方法在绿茶近红外光谱分析模型中的应用.分析测试学报.2007,26(5). 刘辉军,吕进等. 茶叶中茶多酚含量的近红外光谱检测模型研究.红外技术. 2007,29(7) 吴 博.黄咏梅.毛谦敏.吕 进.钟罩式气体流量标准装置自动检定系统的设计与实现，中国计量学院学报，第17卷第4期,2006年12月，p.268-271 吕进，毛谦敏等 移动式现场定量包装商品净含量检定系统的研制,《计量学报》，2006年10月；第27卷第4期,p.360 吕进, 刘辉军.林敏.陈华才.庄松林，近红外光谱分析技术在茶叶成份检测中的研究，全国第一届近红外光谱学术会议论文集，中国石化出版社，ISBN7-80229-199-2,2006.10., p.435 吕进，林敏，庄松林，基于正交小波包的茶叶近红外光谱特性分析，光谱学与光谱分析第25卷第11期, PP.1790-1792, 2005年11月 (SCIISI Document Delivery No.: 990NM) .芦永军、陈华才、吕进, 茶多酚中咖啡因的近红外光谱分析，光谱学与光谱分析 第25卷第8期,1243-1245, 2005年8月 (SCIISI Document Delivery No.: 960YO) 芦永军，陈华才，吕进, 陈星旦. 茶多酚中总儿茶素的近红外光谱分析[J].分析化学，第33卷第6期,2005年6月,p.835-837 (SCIISI Document Delivery No.: 943OC) LU Jin, LIN Min, ZHENG Ying-jun, LIU Hui-jun, Quality Parameter Modeling in Soft Sensing Based on Near Infrared Spectrum, Proceedings of 3rd International Symposium on Instrumentation Science and Technology, Aug. 18-22，2004，Xi’an, China,pp.2-1237-1240（ISTP收录） 吕进, LDV标定装置校准盘动态半径不确定度的测量方法,《计量学报》，2001年；第22卷第2期：p.95（EI 01386656277） 吕进，殳为群. Uncertainty Investigation about the LDV Calibration Facility.《仪器仪表学报》，2000年；第21卷第6期：p.551(2001年9月评为浙江省自然科学优秀论文二等奖) Yu Hou and Jin Lu, Theory and application of active set method in evaluation of form tolerance, Measurement (Journal of the International Measurement Confederation),Vol.18, No.2, pp.117-122, 1996 侯宇，吕进，三坐标测量机上形状误差评定的理论与方法，《仪器仪表学报》，Vol.17, No.6, 1996年12月，pp.618-623

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Because of the increased degree of automation, all production processes are concentrated control or detection, measurement instruments and measured the distance between distant objects, environmental conditions more complicated. In particular, the measured signal is weak and is buried in the noise of how the weak signal was detected more and more people's attention. Weak signal detection is an emerging technology disciplines, cover the application of optical, electrical, magnetic, acoustic, thermal, biological, mechanical, geological, environmental, medical, laser, materials, and other fields. Its equipment has become indispensable to modern scientific equipment. Weak signal detection is the purpose of extracting useful from the noise signal, or use some new technologies and new ways to improve the detection system output signal a letter impatient than the paper first to understand the weak signal detection technology development on the basis of the status quo, have weak signal detection technology The basic principle, the weak signal conditioning for the detailed design. The design chosen photoelectric detector to weak-signal acquisition, preamplifier Yun-partly because of bandwidth limitations and gain the request, using two amplifier. Selection of low noise, high-bandwidth OPA380 transported to the first-class signal amplification, Wan Fang LM358 completed two to enlarge. In this paper, the design of second-order Chebyshev low pass filter to enlarge active after the signal filtering, signal filtering, with a voltage signal for increased drive capability. In weak signal processing circuit design, the layout of the circuit boards for the detailed design, to reduce leakage current in the circuit. .