A low power CMOS temperature sensor frontend for RFID tags

Shan, Hengying; Peterson, John C.; Tsai, Ming-Shiuan; Tang, Yingheng; Conrad, Nathan J.; Mohammadi, Saeed

doi:10.1109/sirf.2018.8304217

Cited by 9 publications

(4 citation statements)

References 8 publications

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“…The nanoscale and embeddable subzero temperature sensor using a single MIT device strongly shows advantages such as simple fabrication process, good scalability and suitable sensing operation. Considering the complex fabrication processes of typical CMOS circuit-based temperature sensors such as lots of lithography, doping process, etc, and scalability (more than 1 μm 2 ) [8][9][10][11], the temperature sensor using the MIT device is attractive due to its simple fabrication process (consecutive deposition process) and small-sized device area (∼0.05 μm 2 ). Furthermore, the temperature sensor shows desirable sensing operation such as high-linearity and good sensitivity.…”

Section: Resultsmentioning

confidence: 99%

“…Secondly, it has relatively a large size area. Despite much research on CMOS circuit-based temperature sensors, temperature sensors with an area smaller than 1 μm 2 have rarely been reported even though the they are effective technology [8][9][10][11], which is undesirable for a highly-integrated system. Thus, there is a need to develop simpler and more cost-effective temperature sensors for embedded systems.…”

Section: Introductionmentioning

confidence: 99%

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Titanium-oxide based nanoscale and embeddable subzero temperature sensor using MIT deformation characteristics

Lee

Kim²,

Koo³

et al. 2018

Nanotechnology

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In this research, we propose a nanoscale and embeddable subzero temperature sensor that is made with a temperature-dependent titanium-oxide based metal-insulator-transition (MIT) device. For a nanoscale two-terminal structured MIT device, the MIT device’s characteristics are noticeably changed from abrupt to gradual MIT under zero temperature, which is called MIT deformation. On the basis of the MIT deformation characteristics, subzero temperatures can be detected by reading current levels as temperature changes. Furthermore, this sensor has desirable sensing properties such as high-linearity and proper sensitivity. The obtained results strongly show that titanium-oxides with CMOS process compatibility, cost-effectiveness, nontoxicity, etc, can be applied at the nanoscale and embeddable on subzero temperature sensors on a chip.

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Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Titanium-oxide based nanoscale and embeddable subzero temperature sensor using MIT deformation characteristics

Lee

Kim²,

Koo³

et al. 2018

Nanotechnology

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“…And its market is still growing fast by integrating not only the circuit of identification and tracking, but also some smart sensors. [1,2,3,4,5] For example, millions of voltage transformers used in power grid need to be equipped with temperature sensor with accuracy of AE1°C to protect itself from overload and overheating damages.…”

Section: Introductionmentioning

confidence: 99%

An ultra-low power robust CMOS temperature sensor with an inaccuracy of ±0.7°C from −40°C to 85°C

Hou

Zhang

et al. 2019

IEICE Electron. Express

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An ultra-low power robust CMOS temperature sensor is presented for RFID. The BJT-based sensor employs a calibrated hybrid ADC, which combines a coarse 5-bit SAR conversion with a fine 9-bit deltasigma conversion. For the purpose of being robust, an error correction method is proposed in this paper, which can calibrate the SAR errors caused by power supply and mismatch. A smart clock generator is also proposed to adapt the change of PTAT bias current, which provides the integrators more settling time in low temperature with low bias current and makes the delta-sigma ADC faster in high temperature to reduce the error caused by leakage. The sensor has been implemented in a 130 nm CMOS process. After a one-point temperature trimming, the sensor has a resolution of 0.015 from −40°C to 85°C, and only consumes 10 µA from 1.5 V supply.

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“…Wang et al [27] designed a CMOS-based temperature sensor having thermistor linear calibration and equipped with a circuit for automatic temperature range selection. Shan et al [28] developed a CMOS-based temperature sensor frontend for thermal monitoring equipped with a dual-slope analog to digital converter (DSADC). Pan et al [29] designed a high-resolution CMOS temperature sensor for MEMS/quartz frequency references' temperature compensation.…”

mentioning

confidence: 99%

Improving the Accuracy of Low-Cost Sensor Measurements for Freezer Automation

Koritsoglou

Christou

Ntritsos

et al. 2020

Sensors

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In this work, a regression method is implemented on a low-cost digital temperature sensor to improve the sensor’s accuracy; thus, following the EN12830 European standard. This standard defines that the maximum acceptable error regarding temperature monitoring devices should not exceed 1 °C for the refrigeration and freezer areas. The purpose of the proposed method is to improve the accuracy of a low-cost digital temperature sensor by correcting its nonlinear response using simple linear regression (SLR). In the experimental part of this study, the proposed method’s outcome (in a custom created dataset containing values taken from a refrigerator) is compared against the values taken from a sensor complying with the EN12830 standard. The experimental results confirmed that the proposed method reduced the mean absolute error (MAE) by 82% for the refrigeration area and 69% for the freezer area—resulting in the accuracy improvement of the low-cost digital temperature sensor. Moreover, it managed to achieve a lower generalization error on the test set when compared to three other machine learning algorithms (SVM, B-ELM, and OS-ELM).

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A low power CMOS temperature sensor frontend for RFID tags

Cited by 9 publications

References 8 publications

Titanium-oxide based nanoscale and embeddable subzero temperature sensor using MIT deformation characteristics

Titanium-oxide based nanoscale and embeddable subzero temperature sensor using MIT deformation characteristics

An ultra-low power robust CMOS temperature sensor with an inaccuracy of ±0.7°C from −40°C to 85°C

Improving the Accuracy of Low-Cost Sensor Measurements for Freezer Automation

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