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Categorization and Characterization of Time Domain CMOS Temperature Sensors
1Division of Electronics and Electrical Engineering, Dongguk University, Seoul 04620, Korea.
Sensors (Basel, Switzerland)
|November 26, 2020
Summary
This study categorizes time domain complementary metal-oxide-semiconductor (CMOS) temperature sensors into twelve types based on a novel temperature estimation function. This classification aids in selecting the optimal sensor for specific application requirements.
Area of Science:
- Integrated circuit design
- Solid-state physics
- Sensor technology
Background:
- Traditional temperature sensors rely on voltage or current measurements.
- Time domain complementary metal-oxide-semiconductor (CMOS) sensors offer an alternative approach.
- Existing literature lacks a comprehensive categorization of these time domain sensors.
Purpose of the Study:
- To systematically categorize time domain CMOS temperature sensors.
- To introduce a new temperature estimation function for sensor classification.
- To provide a framework for selecting appropriate sensors based on performance metrics.
Main Methods:
- Defining a novel temperature estimation function as the ratio of two measured time domain signals.
- Reviewing and categorizing published time domain CMOS temperature sensors.
- Analyzing sensor characteristics including conversion rate, die area, and error margins.
Main Results:
- Twelve distinct types of time domain CMOS temperature sensors were identified and categorized.
- Each sensor type exhibits unique performance characteristics.
- Key performance indicators such as temperature conversion rate, die area, process variation compensation, temperature error, and power supply voltage sensitivity were analyzed.
Conclusions:
- The proposed categorization provides a valuable tool for sensor selection.
- Understanding the diverse characteristics of time domain CMOS sensors is crucial for optimal device design.
- This work facilitates the choice of the most suitable sensor type for specific design specifications.
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