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Electronic Distance Measuring Instruments (EDMs) are essential tools in modern surveying, offering precise distance measurements by emitting electromagnetic signals and calculating the time required for these signals to travel to a target and return. Two primary types of signals are used in EDMs — light waves and microwaves — each suited to specific environmental and distance requirements. Light-wave-based EDMs utilize either infrared or laser light, providing high accuracy over...
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A Surface Acoustic Wave-Based PM 1.0 Fine Dust Detection System Using Full Digital Time-Interleaved Counters.

Chang-Hyeon Kim1, Ki-Hoon Yang1, Yeon-Seob Song1

  • 1Department of Electrical and Computer Engineering, Sungkyunkwan University, Suwon 16419, Republic of Korea.

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|July 13, 2024
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Summary
This summary is machine-generated.

This study introduces a novel fine dust detection system utilizing surface acoustic wave (SAW) sensors and time-interleaved counters. The system accurately measures frequency differences to detect airborne particulate matter with high resolution.

Keywords:
RF amplifieroscillatorsaw sensorthe mass of fine dusttime-interleaved

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Area of Science:

  • Sensor Technology
  • Environmental Monitoring
  • Integrated Circuits

Background:

  • Surface Acoustic Wave (SAW) sensors are sensitive to mass loading, exhibiting changes in resonance frequency upon exposure to particulate matter.
  • Accurate detection of fine dust is crucial for environmental monitoring and public health.
  • Existing detection methods may lack the sensitivity or real-time capabilities required for comprehensive monitoring.

Purpose of the Study:

  • To propose and validate a fine dust detection system employing SAW sensors and time-interleaved counters.
  • To achieve high-resolution frequency measurements for sensitive fine dust detection.
  • To demonstrate the feasibility of integrating this system into a standard CMOS process.

Main Methods:

  • Utilized SAW sensors whose resonance frequency shifts upon fine dust adhesion.
  • Implemented a dual-channel system with sensing and reference SAW oscillators.
  • Employed 20-bit asynchronous counters to convert oscillation frequencies to digital data.
  • Calculated frequency difference between channels to quantify fine dust presence.

Main Results:

  • Achieved a frequency resolution of 0.95 ppm at an operating frequency of 460 MHz.
  • Demonstrated the system's capability to detect the presence of fine dust by measuring frequency shifts.
  • Successfully implemented the proposed circuit in a TSMC 130 nm CMOS process.

Conclusions:

  • The proposed fine dust detection system effectively utilizes SAW sensor frequency shifts and time-interleaved counters for accurate detection.
  • The system offers high resolution and is suitable for integration into standard semiconductor manufacturing processes.
  • This technology holds promise for advanced environmental monitoring and air quality assessment.