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A Novel Method for Evaluation of Band Width of MEMS-Based Embedded Gas Sensor

机译:基于MEMS的嵌入式气体传感器带宽评估的新方法

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This paper represents a novel method of evaluation of band width of MEMS based embedded gas sensor by using the concept of adding white Noise. In this paper we are providing the details of MEMS based embedded gas sensor and adding a concept to evaluate narrowed bandwidth of MEMS based gas sensor. Novel technique includes the concept of amplitude demodulation and temperature modulation. The gas sensor virtual component encloses the sensor and its associated analog circuitry into a digital shell so that all interface connections to the virtual component are digital. The system architecture supports an array of gas sensor elements. System response time is limited by the sensor and is complex. Example gas sensor characterization results are presented showing isothermal response to carbon monoxide molecules with detection sensitivity better than 100 nanomoles/mole. In the present scenario all the sensors output is communicated through computer system so evaluation of Centre frequency and bandwidth is important. Bandwidth of MEMS based gas sensor is measured and compared with help of spectral analysis.
机译:本文通过添加白噪声的概念,提出了一种基于MEMS的嵌入式气体传感器带宽评估的新方法。在本文中,我们将提供基于MEMS的嵌入式气体传感器的详细信息,并添加一个概念来评估基于MEMS的气体传感器的窄带宽。新技术包括幅度解调和温度调制的概念。气体传感器虚拟组件将传感器及其相关的模拟电路封装在数字外壳中,以便与虚拟组件的所有接口连接都是数字的。系统架构支持一系列气体传感器元件。系统响应时间受到传感器的限制,并且很复杂。给出了示例性气体传感器表征结果,其显示了对一氧化碳分子的等温响应,其检测灵敏度优于100纳摩尔/摩尔。在当前情况下,所有传感器输出均通过计算机系统进行通信,因此评估中心频率和带宽非常重要。测量基于MEMS的气体传感器的带宽,并借助光谱分析进行比较。

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