共查询到17条相似文献,搜索用时 78 毫秒
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本文提出一种MEMS传感器,单片集成温度和气压的检测单元。该传感器采用SOI硅片的上层硅作为压阻薄膜,因此各管芯的薄膜厚度有良好的一致性。传统的背面体硅腐蚀方法未被采用,因为碱性溶液腐蚀体硅会在<111>面自停止,形成57.4°的斜坡,从而增大管芯面积,取而代之的是ICP深硅刻蚀。片上集成两个PN结,结区面积呈比例,可以实现温度检测功能。测试表明在-40-100℃之间都有良好的线性度,PN结的离子注入工艺与压阻注入工艺完全兼容,减少了工艺成本。 相似文献
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用于侵入性及非侵入性患者监视的固态集成传感器已逐渐可行并令人瞩目,因为这种传感器尺寸缩小,更可靠并结合了单片信号处理.对于许多生物和生理研究程序及一些临床应用,患者的侵入性监视已成为重要的焦点.这些应用包括很广的领域,从物理和化学生物事件的简单测量,如记录单个神经细胞内电化学产生生物势的放电,到增强或恢复障碍功能的全 相似文献
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A biomimetic three-dimensional piezoresistive vibration sensor based on MEMS technology is reported.The mechanical properties of the sensor are analyzed and the static and dynamic characteristics of the sensor are simulated by ANSYS Workbench12.0.The structure was made by MEMS processes including lithography,ion implantation,PECVD,etching,etc.Finally,the sensor is tested by using a TV5220 sensor auto calibration system.The results show that the lowest sensitivity of the sensor is 394.7 V/g and can reach up to 460.2 V/g,and the dimension coupling is less than 0.6152%,and the working frequency range is 0–1000 Hz. 相似文献
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温度传感器是制冷型红外焦平面探测器的重要组成部分,它用于测量探测器工作温度,其输出用于制冷机控制,从而控制探测器温度。探测器的工作温度将直接影响探测器的性能,如信噪比、探测率和盲元率等。针对传统PN结温度传感器需要模拟信号处理电路及易受电磁干扰的弊端,设计了一种基于CMOS工艺的集成式数字温度传感器,可以集成到红外焦平面探测器读出电路中,直接通过SPI接口输出数字测温值。设计的集成式数字温度传感器采用0.35 m CMOS工艺流片,芯片面积为380 m500 m(不包含PAD),在电源电压2.5 V和采样频率6.1次/s条件下,功耗为300 W,分辨率0.061 6 K。在77 K温度下输出的RMS噪声为0.148 K。测试结果表明,集成式数字温度传感器可以应用于制冷型红外焦平面探测器温度测量。 相似文献
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H. P. Le K. Shah J. Singh A. Zayegh 《Analog Integrated Circuits and Signal Processing》2006,48(1):21-31
This paper presents design and implementation of a wireless pressure sensor system for biomedical application. The system
consists of a front-end Micro-Electro- Mechanical System (MEMS) sensing capacitor along with an optimised MEMS-based oscillator
for signal conditioning circuit. In this design, vertical fringed comb capacitor is employed due to the advantages of smaller
area, higher linearity and larger full scale change in capacitance compared to parallel plate counterparts. The MEMS components
are designed in Coventorware design suite and their Verilog-A models are extracted and then imported to Cadence for co-simulation
with the CMOS section of the system using AMI 0.6-micron CMOS process. In this paper, an optimisation method to significantly
reduce the system power consumption while maintaining the system performance sufficient is also proposed. A phase noise optimisation
approach is based on the algorithm to limit the oscillator tail current. Results show that for the pressure range of 0–300 mmHg
the device capacitance range of 1.31 pF – 1.98 pF is achieved which results in a frequency sweep of 2.54 GHz – 1.95 GHz. Results
also indicate that a 42% reduction of power consumption is achieved when the optimisation algorithm is applied. This characteristic
makes the sensor system a better candidate for wireless biomedical applications where power consumption is the major factor.
Hai Phuong Le received his B.E. (Hons) degree in Electronic and Computer System Engineering from University of Tasmania, Hobart, Australia
in 2000. He received his Ph.D. degree in Microelectronics from Victoria University, Melbourne, Australia in 2005. At present,
he is a post-doctoral research fellow and lecturer in the Centre for Telecommunications and Microelectronics, Victoria University.
His research and teaching interests include data acquisition system, mixed-signal integrated circuit design and wireless smart
sensor systems.
Kriyang Shah received his B.E. Degree in Electronics and Communication Engineering from Sardar Patel University, Vallabh Vidyanagar, Gujarat,
India and his Master Degree in Microelectronics in 2004. He is currently a Ph.D. research student in the Centre for Telecommunications
and Microelectronics, Victoria University, Melbourne, Australia. His research interests include MEMS Sensors, RF MEMS, process
integration for MEMS and CMOS and MEMS-CMOS co-simulation.
Jugdutt (Jack) Singh received his B.Sc. in Electronics Engineering from University of Brighton, UK and M.Sc. in Electronics Engineering from University
of Alberta, Canada in 1978 and 1986 respectively. He completed his Ph.D. at Victoria University, Australia in 1997. Since
1989 he has been at Victoria University, Melbourne, Australia. Currently he is a Professor of Microelectronics in the Centre
for Telecommunications and Microelectronics at Victoria University. His major area of research interests are in the RF, analog
and mixed signal design, reconfigurable architectures, low power VLSI circuits and systems design. He has published number
of articles in education and research in microelectronics and small technologies area.
Aladin Zayegh received his B.E. degree in Electrical Engineering from Aleppo University in 1970 and Ph.D. degree from Claude Bernard University,
France in 1979. In 1980, he joined the Faculty of Engineering, Tripoli, Libya. Since 1984 he has held lecturing position at
Victoria University, Melbourne, Australia. He is currently an Associate Professor and the Head of School in the School of
Electrical Engineering, Faculty of Health, Engineering and Engineering and Science at Victoria University. His research interest
includes microprocessor-based system, instrumentation, data acquisition and interfacing, and microelectronics. 相似文献